Fivetran and dbt Labs are now one company, building the data movement and transformation tools that data teams around the world rely on.
The Analytics team runs on a modern data stack and helps set best practices for the industry.
Responsibilities
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, finding issues and growth opportunities.
Define, measure, and monitor KPIs that show whether 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 next steps.
Find and reduce friction in sign-up, activation, and adoption funnels.
Tackle questions where product data meets broader business data (revenue, sales, support).
Build and maintain the data models, metrics, and dashboards behind the work.
Help new hires, colleagues, and partners understand and use the data well.
Requirements
5+ years in analytics, mostly product analytics, ideally at a high-growth B2B or SaaS company.
Advanced SQL: turning messy raw data into clean, trustworthy datasets; writing, debugging, and explaining SQL.
Comfort using AI tools in analytics workflows (Claude Code, Codex) to explore data, draft/improve SQL, automate work, and synthesize findings; ability to validate AI output.
Hands-on experience building data models (ideally with dbt), creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis.
Track record of using analysis to drive product or business decisions.
Strong attention to detail and prioritization; clear written and verbal communication.