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Data Analyst

Prizeout
Posted 2 months ago, valid for 3 days
Location

New York, New York 10008, NY

Salary

$90,000 - $100,000 per year

Contract type

Full Time

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Sonic Summary

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  • Prizeout is seeking a Data Analyst to drive insights across their Debit & Credit Card Rewards and CashBack+ Products.
  • The role requires a degree in a quantitative field or at least 1 year of experience in data analysis or a similar role, preferably in a startup or fintech environment.
  • Key responsibilities include building analytical models, client-facing dashboards, and collaborating cross-functionally to define KPIs and measure the impact of initiatives.
  • Candidates should have strong proficiency in SQL, BI tools like Tableau or Looker, and the ability to communicate insights effectively.
  • The expected salary for this position ranges from $90,000 to $100,000, along with an equity component.

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 big, complex 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 Data Analyst, you’ll drive insights across the Debit & Credit Card Rewards & CashBack+ Products. You will analyze how credit union members adopt & interact with the various products to help partners and Prizeout track and improve member experience and financial outcomes. You’ll build analytical models and client-facing dashboards to increase visibility and help drive adoption. This is a high-impact role for someone who loves turning big, complex data into tangible results for clients and is motivated by improving real people’s everyday financial lives.

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What You'll Do
  • 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


What We're Looking For
  • 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
 
Please Note: 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.
 
The expected salary range for this position is $90,000-100,000, plus an equity component.


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What Is Prizeout?

 

Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns.

 

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.




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