Data Analyst

PrizeoutNew York, NY
$90,000 - $100,000

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • startup or fintech experience is a plus

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
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