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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a an Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. Most of your work will be answering business questions directly — pulling and structuring data, summarizing it clearly, and delivering a recommendation. When a request genuinely calls for a dashboard, you’ll help scope the requirements and hand them off to our central data team to build.

In this role, you’ll work on well-scoped, clearly framed requests — writing SQL to pull data, looking up how a metric is already built in Looker or Omni when one exists, using Claude to refine and debug your queries, and shaping the output in Excel or Google Sheets into something a stakeholder can act on. This is a developmental role: as you build experience, you’ll take on progressively more ambiguous and higher-stakes requests.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, Excel and/or Google Sheets (pivot tables, lookups, formulas), Claude (or similar AI assistants), Salesforce (viewing/reading data) — exposure to BI tools like Looker, Omni, Sigma, or Hex is a plus

What You’ll Do

• Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors
• Look up existing metrics in Looker or Omni to understand how they’re already built, and reuse that logic where it applies
• Pull, clean, and structure data in Excel or Google Sheets to answer scoped stakeholder questions
• Summarize findings into clear, plain-language takeaways for non-technical stakeholders
• Validate data accuracy against source systems before sharing outputs
• Ask clarifying questions to properly scope a request before starting work
• Escalate requests that require deeper analytical judgment to senior team members
• Maintain documentation of recurring requests and their underlying logic
• Support ad hoc reporting needs across Sales, Strategy, RevOps, Marketing, Deal Desk, among others
• Build working knowledge of dbt Labs’ GTM data model (Salesforce objects, opportunity stages, fiscal calendar)

Skills We’re Looking For

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built

Bonus Skills​

• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a a Senior Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. You’ll own analysis end-to-end for your domain — framing the right question, doing the analysis, and delivering a recommendation stakeholders can act on. When a dashboard is genuinely the right solution, you’ll define the logic and requirements for our central data team to build.

In this role, you’ll own end-to-end analysis for an assigned GTM domain — translating ambiguous business questions into a clear analytical plan, self-serving across SQL, dbt, and BI tools, and partnering directly with revenue stakeholders to deliver recommendations, not just reports.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, dbt, Looker, Omni, Sigma, Excel and/or Google Sheets, Salesforce, Claude (or similar AI assistants) — Hex or similar notebook tools are a plus for exploratory analysis

What You’ll Do

• Own end-to-end analysis for an assigned GTM domain (Sales, Strategy, RevOps, Marketing, Deal Desk, among others)
• Translate ambiguous business questions into a clear analytical plan
• Self-serve on pulling, transforming, and visualizing data using SQL, dbt, and Looker/Omni/Sigma
• Recommend data-driven insights and next steps, not just report on metrics
• Partner directly with revenue stakeholders to answer recurring and ad hoc data questions
• Investigate root causes behind metric shifts (e.g., why conversion rates moved quarter over quarter)
• Maintain and troubleshoot existing dashboards and reports within your domain
• Document analytical logic and definitions for team and stakeholder reference
• Mentor Level 2 analysts on query writing and analytical approach
• Use Claude and other AI tools to accelerate query development and analysis

Skills We’re Looking For

• Strong understanding of SaaS sales motions — not just terminology, but how opportunity stages, pipeline progression, and SFDC object structure actually drive the numbers stakeholders care about
• Comfortable with data — able to self-serve on getting, analyzing, and visualizing data
• Proficient in SQL, dbt, and Looker (or similar BI tools such as Sigma or Omni)
• Skilled at building and maintaining dashboards
• Analytical mindset — able to work through problem statements and recommend data-driven solutions
• Ability to work directly with revenue stakeholders and answer data-related questions
• Proficient with Claude or similar AI tools to support analysis

Bonus Skills​

• Experience with planning and forecasting for revenue target setting
• Understanding of marketing concepts such as funnel stages, MQLs/SQLs, and campaign attribution
• Basic financial literacy (e.g., ARR, bookings, revenue recognition) to collaborate effectively when a request touches Finance-owned data or definitions
• Experience working with Salesforce
• Comfortable digging into harder questions (e.g., why conversion rates were lower this quarter vs. prior quarter)
• Python experience
• 4+ years of experience working with GTM teams

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a an Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. Most of your work will be answering business questions directly — pulling and structuring data, summarizing it clearly, and delivering a recommendation. When a request genuinely calls for a dashboard, you’ll help scope the requirements and hand them off to our central data team to build.

In this role, you’ll work on well-scoped, clearly framed requests — writing SQL to pull data, looking up how a metric is already built in Looker or Omni when one exists, using Claude to refine and debug your queries, and shaping the output in Excel or Google Sheets into something a stakeholder can act on. This is a developmental role: as you build experience, you’ll take on progressively more ambiguous and higher-stakes requests.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, Excel and/or Google Sheets (pivot tables, lookups, formulas), Claude (or similar AI assistants), Salesforce (viewing/reading data) — exposure to BI tools like Looker, Omni, Sigma, or Hex is a plus

What You’ll Do

• Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors
• Look up existing metrics in Looker or Omni to understand how they’re already built, and reuse that logic where it applies
• Pull, clean, and structure data in Excel or Google Sheets to answer scoped stakeholder questions
• Summarize findings into clear, plain-language takeaways for non-technical stakeholders
• Validate data accuracy against source systems before sharing outputs
• Ask clarifying questions to properly scope a request before starting work
• Escalate requests that require deeper analytical judgment to senior team members
• Maintain documentation of recurring requests and their underlying logic
• Support ad hoc reporting needs across Sales, Strategy, RevOps, Marketing, Deal Desk, among others
• Build working knowledge of dbt Labs’ GTM data model (Salesforce objects, opportunity stages, fiscal calendar)

Skills We’re Looking For

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built

Bonus Skills​

• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a a Senior Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. You’ll own analysis end-to-end for your domain — framing the right question, doing the analysis, and delivering a recommendation stakeholders can act on. When a dashboard is genuinely the right solution, you’ll define the logic and requirements for our central data team to build.

In this role, you’ll own end-to-end analysis for an assigned GTM domain — translating ambiguous business questions into a clear analytical plan, self-serving across SQL, dbt, and BI tools, and partnering directly with revenue stakeholders to deliver recommendations, not just reports.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, dbt, Looker, Omni, Sigma, Excel and/or Google Sheets, Salesforce, Claude (or similar AI assistants) — Hex or similar notebook tools are a plus for exploratory analysis

What You’ll Do

• Own end-to-end analysis for an assigned GTM domain (Sales, Strategy, RevOps, Marketing, Deal Desk, among others)
• Translate ambiguous business questions into a clear analytical plan
• Self-serve on pulling, transforming, and visualizing data using SQL, dbt, and Looker/Omni/Sigma
• Recommend data-driven insights and next steps, not just report on metrics
• Partner directly with revenue stakeholders to answer recurring and ad hoc data questions
• Investigate root causes behind metric shifts (e.g., why conversion rates moved quarter over quarter)
• Maintain and troubleshoot existing dashboards and reports within your domain
• Document analytical logic and definitions for team and stakeholder reference
• Mentor Level 2 analysts on query writing and analytical approach
• Use Claude and other AI tools to accelerate query development and analysis

Skills We’re Looking For

• Strong understanding of SaaS sales motions — not just terminology, but how opportunity stages, pipeline progression, and SFDC object structure actually drive the numbers stakeholders care about
• Comfortable with data — able to self-serve on getting, analyzing, and visualizing data
• Proficient in SQL, dbt, and Looker (or similar BI tools such as Sigma or Omni)
• Skilled at building and maintaining dashboards
• Analytical mindset — able to work through problem statements and recommend data-driven solutions
• Ability to work directly with revenue stakeholders and answer data-related questions
• Proficient with Claude or similar AI tools to support analysis

Bonus Skills​

• Experience with planning and forecasting for revenue target setting
• Understanding of marketing concepts such as funnel stages, MQLs/SQLs, and campaign attribution
• Basic financial literacy (e.g., ARR, bookings, revenue recognition) to collaborate effectively when a request touches Finance-owned data or definitions
• Experience working with Salesforce
• Comfortable digging into harder questions (e.g., why conversion rates were lower this quarter vs. prior quarter)
• Python experience
• 4+ years of experience working with GTM teams

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

About us

At Davy, it’s the unique talents of all our people that have been the foundations of our success for 100 years. As we continue to grow, so do you. Because you are not just part of our team – you are a key player in shaping our future.

At Davy, you are the difference.

Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors.

Our culture is shaped around three values, which are at the heart of everything we do: client success, one Davy, and building a proud legacy. Sharing the same goals, we work together to deliver exceptional outcomes for our clients. As part of a team of over 900, you will be encouraged to learn and to grow, both professionally and personally.

About the role

The Technical Business Analyst will play a key role in the successful implementation and operationalisation of a new product within Davy. This role will act as the bridge between business and technology teams, ensuring business requirements are clearly defined, translated into technical solutions, and delivered effectively.

The successful candidate will work closely with Product, Technology, Operations, and Risk teams to support delivery, drive process improvements, and ensure readiness for product launch and ongoing service performance.

In the role, the successful candidate will:

Business Analysis & Delivery

• Gather, analyse, and document business, functional, and technical requirements.
• Facilitate workshops with stakeholders to understand business needs and define solution requirements.
• Create and maintain user stories, process maps, acceptance criteria, and requirements documentation.
• Support product squads and technology teams to ensure requirements are understood and delivered effectively.
• Identify and manage risks, issues, and dependencies throughout the delivery lifecycle.

Governance & Reporting

• Maintain requirements traceability and delivery documentation.
• Ensure solutions comply with regulatory, risk, and governance requirements.

Stakeholder Management

• Act as a key liaison between business, technology, operations, and product teams.
• Communicate complex business and technical requirements to a range of stakeholders.
• Build strong relationships to support collaboration and successful delivery outcomes.

Process Improvement & Optimisation

• Identify opportunities for process improvement, automation, and operational efficiency.
• Support continuous improvement initiatives and adoption of best practices.

About You

Experience & Background

• 3+ years’ experience as a Business Analyst, Technical Business Analyst, or similar role within financial services.
• Experience delivering technology-enabled change and implementing new products or platforms.
• Proven experience working across business and technology teams in complex delivery environments.
• Experience gathering, documenting, and managing business and technical requirements.
• Understanding of regulatory and compliance requirements within financial services.

Technical & Professional Skills

• Strong requirements gathering, process mapping, and business analysis skills.
• Experience working in Agile, Waterfall, or hybrid delivery environments preferential.
• Understanding of system integrations, APIs, data flows, and technology platforms.
• Experience with JIRA, Confluence and Microsoft Office tools.
• Experience supporting testing activities, including UAT and defect management.

Soft Skills

• Excellent stakeholder management and communication skills.
• Strong analytical and problem-solving capabilities.
• Highly organised with strong attention to detail.
• Proactive and collaborative approach with the ability to work across multiple teams.
• Comfortable working in a fast-paced, evolving delivery environment.

What we offer

At Davy, our people are our biggest investment. In today’s fast-moving world, we know it’s important to feel secure and empowered. That’s why Davy benefits support you through all of life’s stages, offering health and wellness, flexible working options, flexible benefits allowance, learning and development opportunities, through to assisted retirement planning.

Health and Wellbeing

Psychological safety, emotional wellbeing and support are a priority at Davy. We offer a comprehensive Employee Assistance Programme (EAP) and mental health first aid. Our Sports & Social teams promote physical wellbeing and social connection.

Reward and Recognition

We offer a competitive remuneration package to include salary, bonus, pension and a host of additional benefits to protect you and your family when it matters most.

Growth and Development

Our award-winning L&D function supports you and your growth at Davy. We offer a comprehensive range of professional and personal development opportunities. Our culture supports learning, and we encourage you to explore more at Davy.

Positive Workplace

Our workplace is inclusive, diverse, and offers everyone a sense of belonging. We are flexible and continue to support a hybrid working model. You will get to be your best at Davy.

Values and Culture

Exceptional client outcomes delivered by a world class team, underpinned by our core Davy values – One Team, Client Success, and Proud Legacy.

Important Information

Davy is an equal opportunities employer, committed to fostering an inclusive and diverse workplace. We value diversity in both background and experience, and even if you don’t meet all of the requirements outlined in the job description, we still encourage you to apply. We review all applications received. As part of our commitment to creating an accessible environment, we want to ensure that everyone has an equal opportunity to participate in the interview process. If you require any reasonable accommodations, please let us know, and we will do our best to make the necessary arrangements.

Appointment to this role is subject to the candidate’s eligibility to work in Ireland.

Where agency assistance is required, our Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to us by recruitment agencies will not be accepted for this role.

Davy Group is a member of the Bank of Ireland Group.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

Headquarters: Cortland, New York, United States
URL: https://cortlandplastics.com/

Cortland Plastics International is a plastics manufacturing company specializing in innovative plastic packaging and container solutions for a variety of industries. With a focus on quality, efficiency, and continuous improvement, the company provides a collaborative manufacturing environment where employees can develop their skills and build long-term careers.

Position Overview

We are seeking a reliable and detail-oriented Data Entry Specialist to accurately enter, maintain, and organize company information and records remotely.

• Accurately enter, update, and maintain company data, records, spreadsheets, and databases.
• Review information for accuracy, completeness, and correct errors or discrepancies.
• Process and organize production, inventory, purchasing, shipping, and administrative documents.
• Prepare basic reports and spreadsheets and retrieve information as needed.
• Maintain confidentiality and organized records while following company procedures.
• Work with other departments to support daily administrative and data-management needs.

Requirements

• High school diploma or GED preferred.

• Previous data entry, administrative, clerical, or office experience is a plus.
• Strong attention to detail and accuracy.
• Basic computer and Microsoft Office skills.
• Good typing and organizational skills.
• Ability to follow written and verbal instructions.
• Reliable attendance and dependable work ethic.
• Willingness to learn company systems and procedures.

Benefits

• Private Health Insurance
• Pension Plan
• Paid Time Off
• Performance Bonus

To apply: https://weworkremotely.com/remote-jobs/cortland-plastics-international-data-entry-specialist

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You’ll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we’d love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

ou’ll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.

You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.

This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.

Our Work Style:

• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office

Your Impact:

1. Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
2. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
3. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
4. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
5. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
6. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
7. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.

Your Qualifications:

• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English

Standout Qualities:

• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.

Team Dynamics:

You’ll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.

We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.

What’s Next?

• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview

If you’re passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we’d love to hear from you.

Perks & Benefits:

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

This position is for an existing vacancy.

As a Staff Data Scientist at an early-stage, high-growth company, you’ll play a critical role in turning raw data into insights and apps that shape strategy, fuel growth, and improve the customer experience. You’ll have a direct hand in the decisions that move the business, not just the reports that describe it.

This isn’t a “run the numbers and hand off a deck” role. You’ll be partnering directly with senior leaders and an experienced data & analytics team to drive data science and experimentation initiatives across sales, marketing, and product areas — putting both traditional analysis and ML to effect change.

What You’ll Get to Do:

• Architect optimization analyses and forecasts that help leaders pinpoint opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
• Partner directly with executive leadership, translating complex analysis into clear, actionable decisions and process changes.
• Design counterfactual analyses and A/B tests to enable data-driven evolution of our UX, product features and customer experience.
• Build data apps that automate and supercharge our sales and marketing processes.
• Own your projects end-to-end — from framing the business question to shipping the model to presenting the recommendation, with the autonomy to decide how you get there.
• Work on top the same semantic layer and DBT models powering our AI-driven analytics stack (Snowflake Cortex, Sigma, Claude, etc.), so your analyses build on a single-source-of-truth data.
• Create data science frameworks — templates and guides that data practitioners across the org can leverage and build upon.

What You’ll Bring to the Role:

• 7+ years of experience in data science in a fast-moving business setting, with a track record of running the show on ambiguous, high-stakes problems.
• Hands-on experience with a modern cloud data stack — Snowflake, DBT, and various BI tools (Sigma, Looker, Metabase, Omni, or similar).
• Strong SQL and statistical modeling skills, with a track record of building forecasting and causal inference models.
• A love of documentation and Git — you enable others to build on top of your work..
• You appreciate scalable data models — you contribute to the shared semantic layer, and let the whole org benefit.
• You’re just as excited to hack together a scrappy new analysis or app as you are to build scalable products that meet stringent quality standards.

Who You Are:

• Self-driven and organized, with the ability to manage projects across cross-functional stakeholder groups with minimal oversight, keeping everyone updated on progress and next steps.
• You don’t wait for direction — you spot the opportunity, make the case, and drive it through.
• An amazing communicator and presenter, equally comfortable in a room with executive leadership or heads-down in the data.
• A true team player — you love brainstorming, peer reviews, and pressure-testing ideas.
• You’re in it for the journey, not just the destination.

Compensation Band: $140,000.00 - $160,000.00 CAD

Our compensation ranges are built using multiple market benchmarks and reflect both the scope of the role and current market data. While many hires fall within the beginning to midpoint of the band to allow for growth over time, we tailor offers based on each candidate’s experience, seniority, and demonstrated impact.

🏠 What we offer (US + Canada)

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

🏝️ Vacation/Paid Time Off:

• 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
• 1 Friday off per month (we call those our laundry days!)
• Company wide paid shutdown for the week between Christmas and New Years
• Flexible time off
• 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
• RRSP/401k match
• Generous Parental Leave policy

🤝 Perks:

• We host an annual company retreat with great team building activities
• Ample learning and development opportunities to continue growing your career
• Home office setup stipend
• Internet and phone allowance
• Remote first culture
• Weekly Friday paydays!

🤖 AI Notice

At Roofr, we’re big fans of AI. It helps us write job descriptions that don’t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.

Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users 👀). But when it’s time to chat, we’d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.

And don’t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you’ll always speak with real humans throughout the interview process. No bots, just good people ☺️

⚠️ Important Notice

We’ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra “r”). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.

To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers.

If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com.

Your safety and security are important to us — thank you for your vigilance!

Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

About the Role

This role is built around production support: Keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications. You’ll work across a global support queue, troubleshoot financial instrument reference and valuation data, and partner with engineering to turn recurring fixes into solutions.

Location: Hybrid schedule. Can sit in our Chicago or Houston office.  Remote may be possible for the right candidate.

Hours: This role has non traditional hours.  10:30am-7:30pm Central time.

What You’ll Do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does — tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What We’re Looking For

• Technical skills: Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly, standing up tactical fixes in a scheduling environment, building data quality metric reports, and comfortable accessing different types of data storage and file formats.
• Data tooling: Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office-files, S3/Athena, Bloomberg Terminal and Bloomberg’s Excel API plug-in is helpful; exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus.
• Financial markets knowledge: You should be comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes across global exchanges.
• Soft Skills: Calm under pressure, with strong critical thinking — able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Communication: Comfortable fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences alike.
• Process and governance: Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You’ll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we’d love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

ou’ll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.

You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.

This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.

Our Work Style:

• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office

Your Impact:

1. Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
2. Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
3. Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
4. Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
5. Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
6. Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
7. Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.

Your Qualifications:

• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English

Standout Qualities:

• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.

Team Dynamics:

You’ll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.

We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.

What’s Next?

• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview

If you’re passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we’d love to hear from you.

Perks & Benefits:

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗  Approachable: We’re friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning...

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• The data roadmap - discovering what product, marketing, ops, and finance need from data, prioritizing it against platform health, and sequencing the investment. You'll present it, defend it, and re-plan it as the business moves.
• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal, people follow standards they've been taught, and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who, and which AI tools, can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Turn business needs into a data roadmap Every area of the company wants something from data, and today those asks reach the Analytics team as a stream of interruptions. You'll build the intake and prioritization that turns them into a roadmap , one that balances stakeholder needs against platform health, survives contact with a changing business, and that your stakeholders can see themselves in. The hard part: saying "not yet" to important people, with a reason they respect.

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure, spaces, permissions, certification, naming, that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics, one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both, extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist, a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins, events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero, an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks, but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy, you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go, one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on manager. You've been accountable for other people's output, allocating their time, owning their priorities, and you never stopped building yourself. You write the SQL, debug the Airflow DAG, and configure the permissions personally. This is unlikely to be a good fit if seniority took you away from the keyboard, or if you've never been responsible for anyone's work but your own.
• Product-minded. You start from what the business is trying to decide, not from what the pipeline does, and you can turn a vague stakeholder ask into a prioritized plan. This is unlikely to be a good fit if you need requirements handed to you, or if roadmap conversations feel like a distraction from the real work.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards, which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A big-team leadership role. You start solo and then hire a Lead Analytics Engineer who reports to you; the team grows only as scope demands. If you want to direct a large org rather than build alongside a small one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it, with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Ingestion - Fivetran, plus custom Airflow pipelines
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-analytics-engineering-manager-data-platform-governance-1

Headquarters: Remote

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product. 

The Difference You Will Make:

Under this general application, you will be considered for applications over several tracks.

• Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches.
• Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs. 
• Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. 

As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences. 

A Typical Day: 

• Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
• Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
• Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary.
• Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
• Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.

Your Expertise:

• 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
• Experience with experimentation, causal observational analysis, and machine learning techniques.
• Experience partnering with product, engineering, and design to enable data-driven model or product development.
• Ability to prototype, build, and scale derived data assets.
• Strong coding skills in SQL and either Python or R.
• Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
• Work authorization (if applicable)
• Travel requirements (if applicable)

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. 

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. 

 

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range$179,000—$210,000 USD

To apply: https://weworkremotely.com/remote-jobs/airbnb-senior-data-scientist-guest-host

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning...

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...