Senior Data Analyst

Prizeout, Inc.•New York, NY

54d•$115,000 - $130,000•Hybrid

About The Position

Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC. Why Prizeout At Prizeout, we're redefining how people engage with their money through smarter, data-driven rewards. We're looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Senior Data Analyst, you'll drive insight across the lifecycle of CashBack+ Pay (our app for credit union members to use in person or online). You will analyze how members discover, download, and use Pay, to help improve conversion funnels, marketing effectiveness, outcomes, and the payment experience. You'll build analytical models, uncover behavioral insights, and partner cross-functionally to shape product strategy and growth experiments. This is a high-impact role for someone who loves turning complex behavior into clarity and is motivated by improving real people's everyday financial lives.

Requirements

3+ years in data analysis, product analytics, or quantitative roles (startup or fintech experience a plus)
Experience with funnel analytics, cohort analysis, retention modeling, and A/B testing
Proficiency in SQL, Python, BI tools (Tableau/Looker), and Excel
Ability to organize ambiguity and clearly communicate the "so-what"
Comfort working with transaction data, behavioral signals, and marketplace or consumer app metrics
Desire to influence the product direction and growth strategy through deep user understanding

Responsibilities

Analyze the full Pay funnel from awareness, through activation, to long-term loyalty.
Build frameworks and develop attribution models to understand what drives user acquisition and conversion
Quantify key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streaks)
Surface insights on shopping patterns, merchant experience quality, and cashback/offer behavior
Work cross-functionally to define KPIs, test hypotheses, and evaluate A/B experiments
Partner with data leadership to build meaningful reporting, dashboards, and retention/engagement benchmarks
Identify friction points in the Pay experience and recommend product, UX, or marketing optimizations
Support GTM and partner teams with analytics to drive adoption, engagement, and growth
Translate complex findings into actionable narratives and recommendations for senior stakeholders

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