Prizeout→
Data Analyst at Prizeout in New York, NY
Entry LevelHybridFull-timeNew York, NY$90k–$100k/yr
Skills
sqlbi toolsdata analysisexcelfinancial datacuriosity
Job Description
Summary: Prizeout is redefining how people engage with their money through smarter, data-driven rewards. As a Data Analyst, you will drive insights across the Debit & Credit Card Rewards & CashBack+ Products by analyzing member interactions and building analytical models to enhance user experience and financial outcomes.
Responsibilities:
- Develop a deep understanding of the Debit & Credit Card Rewards, CashBack+ (including Pay), and Actions products, including their product and financial performance metrics
- Partner with clients and client-facing teams to understand their needs and identify opportunities to improve workflows and member experiences
- Build analytical frameworks and dashboards to track partner member adoption and product performance
- Define and measure key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streak activity)
- Analyze partner adoption funnels and identify drivers of successful product launches
- Collaborate cross-functionally to define KPIs, test hypotheses, and measure the impact of initiatives (e.g., marketing) on product adoption
- Support GTM and partner teams with analytics that drive adoption, engagement, and growth
- Translate complex analyses into clear insights, recommendations, and narratives for senior stakeholders
Required Qualifications:
- Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus)
- Strong proficiency in SQL, BI tools (e.g., Tableau or Looker), and Excel
- Ability to organize ambiguity and clearly communicate the 'so-what'
- Comfort working with financial data, behavioral signals, and marketplace metrics
- Desire to influence the product direction and growth strategy through deep user understanding
Required Skills: SQL, BI tools, Data analysis
Important Skills: Excel, Financial data
Nice-to-Have Skills: Curiosity
Benefits: Equity component
Benefits
Equity component