Senior Product Analyst
$132,000–$148,500 year
HybridArlington, Virginia, United States
Job Summary
Build business models and financial frameworks to evaluate new product bets, including total addressable market sizing, unit economics, and NPV analysis. Perform customer segmentation using behavioral and transactional data to identify underserved groups and validate product-market fit signals. Create datamarts, dashboards, and metrics frameworks from scratch, while implementing data quality monitoring to ensure reliability for product decisions. Design and analyze A/B tests, translating results into actionable recommendations for feature development and customer journeys. Leverage AI tools and automation to accelerate analysis across multiple simultaneous workstreams. This role reports to the Principal Product Manager on the New Products team within Consumer Financial Services, focusing on incubating innovative lending and payment products.
Required Qualifications
- 4+ years of experience in a product analytics, business analytics, or related quantitative role
- ideally within fintech, e-commerce, or consumer financial services
- Bachelor's degree in mathematics, economics, engineering, statistics, or another quantitative discipline
- equivalent experience
- Strong SQL proficiency
- hands-on experience analyzing large datasets from multiple sources
- Python or R experience
- Familiarity with ETL processes
- experience building or contributing to data pipelines that create reliable, analysis-ready data sources
- comfort working with data engineers to define schemas, transformations, and refresh cadences
- Experience with data visualization tools such as Mode, Looker, or Tableau
- Experience building business models or financial analyses for new or early-stage products
- Hands-on experience with customer segmentation using behavioral or transactional data
- An AI-first mindset - you actively use AI tools in your day-to-day work and look for new ways to apply them to move faster
- Comfort with ambiguity and the ability to make progress when the problem is not yet fully defined
- Excellent data storytelling skills; you translate complex findings into decisions, not just slides
Desired Qualifications
- ideally within fintech, e-commerce, or consumer financial services
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