Senior Product Analyst

Oakland, California, United States, AMER · USA - Oakland · 5+ years experience · Hybrid · Posted Oct 15, 2026

At a glance

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.

As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute.
You'll be a "full-stack" analyst building data models, defining metrics, creating dashboards, running analysis, and turning it all into recommendations that shape what we build next.

Partner with product managers and product line leaders to understand problems and potential solutions with data.
Deliver regular analysis and insight on product adoption, engagement, and retention.
Proactively investigate trends in user behavior and product usage to find issues and growth opportunities.
Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track.
Size the potential impact of new product initiatives and recommend how to prioritize them.
Analyze product launches and experiments, and recommend what to do next.
Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products.
Tackle questions where product data meets broader business data, such as revenue, sales, and support.
Build and maintain the data models, metrics, and dashboards behind your work.
Help new hires, colleagues, and partners understand our data and use it well.

5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company.
Advanced SQL capability to turn messy, raw data into clean, trustworthy datasets and write, debug, and explain SQL yourself.
Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings.
Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool, and performing funnel, cohort, and segmentation analysis.
A track record of using analysis to drive product or business decisions.
Strong attention to detail and prioritization.
Clear written and verbal communication, including explaining findings to executives and technical tradeoffs to engineers.
Experience influencing cross-functional, distributed teams, both asynchronously and in real time.

Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions.
Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion.
Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap.
Experience developing and scaling a large dbt project.
Python or R for analysis.

100% employer-paid medical insurance
Generous paid time away from work, including paid vacation or flexible/unlimited vacation, paid sick time, inclusive parental leave, and paid holidays
Year-end Global Week of Rest
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

Flexible hybrid position based in Oakland, CA.
Remote flexibility and in-person collaboration with no fixed number of required office days.

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