Senior Product Data Analyst
Senior Product Data Analyst partners with PMs and engineers to define metrics, design experiments, build dashboards, and deliver insights on payments and stablecoin products. Requires 5-8 years analytics experience, expert SQL, Python/R, and strong product judgment.
About the job
What You'll Do
- Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
- Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
- Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
- Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface
- Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
- Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
- Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view
What We're Looking For
- 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality
- Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you
- A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction
- Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred)
- Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering
- Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right
- Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions
- Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment
Nice to Have, But Not Mandatory
- Experience analyzing payments, card issuing, or cross-border fintech products
- Exposure to stablecoins, crypto, or on-chain data
- Previous startup or hypergrowth environment experience
- Experience standing up an analytics function from early days
Skills
SQL, Python, R, Snowflake, BigQuery, Redshift, Lightdash, Data Warehouses, BI Tools, Experiments, Dashboards, Analytics
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