Senior Product Data Analyst - Payments & Financial Services
New
B
BILLFintech payments
Location: United StatesFull-TimeSenior
Salary107,800 - 129,100 USD per year
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Job Details
- Experience
- 5+ years in product analytics, data science, or a related quantitative field
- Required Skills
- PythonSQLProduct AnalyticsData modelingdbt
Requirements
- 5+ years in product analytics, data science, or a related quantitative field, owning a domain end to end.
- A track record of self-directed work finding high-impact problems and shipping fixes.
- Advanced SQL.
- Strong Python.
- Production experience with dbt or similar, including models, tests, documentation, and version-controlled review.
- Fluency in experimentation and causal inference, with judgment about when an experiment is appropriate.
- Experience building with agentic coding tools and evaluating where their output can and cannot be trusted.
- Ability to turn ambiguous questions into a metrics framework and defend it.
- Ability to turn complex findings into decisions a product team acts on.
- Nice to have: experience with payments, fintech, or marketplace data, including payment rails, settlement and reconciliation, fraud and risk signals, or pricing and monetization.
Responsibilities
- Set the analytics agenda for Payments and identify product opportunities, data gaps, and automation candidates across payment methods.
- Bring product recommendations to Product and help shape the roadmap.
- Define metrics and OKRs, run a standing review cadence with Product, and drive a deep-dive practice.
- Run experiments and apply causal inference to determine what moved a metric.
- Build and maintain production-grade data models in dbt with tests, documentation, and version-controlled workflows.
- Use AI-assisted workflows and automate recurring reporting.
- Drive executive reporting and its adoption across leadership and Product.
- Partner with data engineering and Finance to validate data quality and metric definitions, reconcile payment data against source systems, and resolve documentation-to-logic drift.
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