Salary
💰 $115,000 - $165,000 per year
Tech Stack
AirflowAmazon RedshiftPythonSQLTableau
About the role
- Own analytics end-to-end for critical growth areas such as client experience, marketing effectiveness, marketplace dynamics, or payments
- Partner with your embedded squad to drive product decisions, from initial hypothesis to post-launch analysis, acting as the voice of data in all strategic discussions
- Proactively identify opportunities by diving deep into user behavior, conversion funnels, and marketplace dynamics—we expect you to surface insights we didn't know to ask for
- Design and analyze A/B tests, ensuring rigorous methodology while moving fast to validate hypotheses and unblock product development
- Build the analytical infrastructure for your domain using our modern stack (Redshift, dbt, Airflow, Tableau), creating reusable data models that become the single source of truth
- Navigate between strategic and tactical work—one day presenting marketplace insights to executives, the next debugging a data pipeline or writing complex SQL to answer an urgent question
- Establish measurement frameworks for previously untracked areas of the business, defining the KPIs and standards that will guide decisions for years to come
- Act as a data evangelist, teaching stakeholders how to self-serve insights while knowing when to jump in with deeper analysis
Requirements
- 3+ years of relevant experience in product analytics / data science, or other quantitative disciplines
- Proven track record of being embedded in product teams, solving real user problems with data
- Strong SQL skills with experience querying large, complex datasets—you should be comfortable with CTEs, window functions, and query optimization
- Excellence in data visualization and storytelling, with hands-on experience in Tableau (preferred) or similar BI tools
- History of translating ambiguous business questions into rigorous analyses, and communicating findings that actually change decisions
- Experience in two-sided marketplaces, SaaS, or payments (preferred)
- Technical depth with Python/R for statistical analysis, A/B test design, or causal inference (preferred)
- Modern data stack experience (Redshift, dbt, Airflow, Tableau) or the scrappiness to learn quickly
- Startup experience and ability to balance perfect vs. good enough (preferred)
- Track record of building analytics from scratch—creating KPIs, taxonomies, and measurement frameworks (preferred)
- Applicants must be authorized to work for ANY employer in the U.S.; company cannot sponsor employment visas
- Must reside in one of the following U.S. states: Arizona, Alabama, California, Colorado, Florida, Georgia, Illinois, Indiana, Massachusetts, Maryland, Michigan, Nebraska, New York, New Jersey, Ohio, Oregon, Pennsylvania, Virginia, Washington