Senior Analyst, GTM Analytics

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.

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

• →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

• 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

• 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

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