Hybrid Senior Data Analyst, Commercial Senior Data Analyst, Commercial with verification

Hi, we’re Underdog!We’re the fastest-growing sports gaming company ever.We build innovative games and products for American sports fans.Founded in 2020, our team built four of today’s most widely played fantasy games and recently launched our Underdog Sportsbook. We are the only sportsbook to ever launch on our own home grown technology, which allows us to build different and innovative experiences. We believe there’s so much more to be built for sports fans, and we’ll continue to win by building the best products and experiences for our customers.The opportunity in front of us to become the biggest company in our space is massive; after all, we’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, we reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.At Underdog, we believe that sports are for everyone and are building a tomorrow for every fan. Want to help create that future? Join us.About the role and why it’s unique:As a Senior Data Analyst, Commercial, you’ll support a variety of teams across strategy, fraud, payments, finance, accounting. You’ll help shape business strategies and improve operations by developing key reporting, conducting in-depth analysis, and delivering actionable insights. This role will give you the opportunity to tackle diverse business problems and work cross-functionally with multiple departments, making a direct impact on our operationsKey responsibilities include:

• Developing and maintaining critical reporting and performance metrics for fraud, payments, finance, and accounting teams.
• Analyzing business and customer data to identify key trends, investigate root causes, and inform decision-making.
• Building dashboards and data visualizations to communicate insights and performance trends to stakeholders across multiple teams.
• Analyzing transactions and customer behavior to identify fraudulent activity, suspicious patterns, and opportunities to reduce payment processing issues.
• Conducting root cause analysis on fraud cases and payment failures, helping to uncover areas for improvement in processes and systems.
• Partnering with internal teams to develop data-driven strategies that help optimize payment workflows, improve fraud detection accuracy, and reduce operational risks.