Senior Product Data Analyst
Skills
About the Role
You will act as the analytical engine for product: define metrics, build dashboards, design and analyze experiments end to end, and deliver clear, opinionated recommendations. You will run deep-dive analyses on partner usage, activation, retention, and economics; own the product metrics framework; build self-serve analytics and tooling; partner with data engineering on data models; and proactively surface insights that guide roadmap decisions.
Requirements
- 5–8 years of analytics experience partnering with product teams
- Expert SQL
- Working fluency with Python or R
- Experience with modern data warehouses such as Snowflake BigQuery or Redshift
- Experience with BI and visualization tools (Lightdash preferred)
- Proven ability to design and run experiments and measure adoption
- Ability to read product code and understand event schemas and instrumentation
- Excellent written and verbal communication
- Senior autonomous operator able to scope analyses and own recommendations
Responsibilities
- Partner with product leadership to define metrics and build dashboards
- Design and analyze experiments end to end
- Run deep-dive analyses on partner usage activation retention and economics
- Own the product metrics framework and measurement standards
- Build self-serve analytics dashboards and tooling
- Collaborate with data engineering on data modeling and instrumentation
- Proactively surface insights and recommendations
Benefits
- Unlimited time off with at least 10 days required
- Flexible work arrangements and hybrid schedule with stipend for home workspace
- Comprehensive health dental and vision plans for US employees
- 100% company subsidized life insurance plan
- 401(k) with 4% company match
- Equity option plan
- Company-issued cards for product testing
- Eligible health and wellness spending (gym memberships massages acupuncture)
- Team and company off-site summits domestically and internationally