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Senior Data Analyst
Senior Data AnalystPrizeout • New York, NY, US
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Senior Data Analyst

Senior Data Analyst

Prizeout • New York, NY, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description

What is Prizeout

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.

What You'll Do

  • 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

What We're Looking For

  • 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
  • Please Note :

  • Must be able to work 2-3 days / week in our NYC office.
  • Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
  • The expected salary range for this position is $115,000-$130,000, plus an equity component.

    Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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