Discover What’s Possible at BetMGM
Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.
As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:
Medical, Dental, Vision, Life, and Disability Insurance
401(k) with company match
Pre-tax spending accounts including health care FSA and commuter savings
Flexible paid time off
Professional development reimbursement and ongoing skills training opportunities
Employee resource groups
Swag, ticket giveaways, and more!
At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.
Location: Jersey City, NJ - Hybrid
About the Role
Join an innovative, fast-paced analytics team at the cutting edge of sports betting and online gaming! As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage to improve the player experience across our digital platforms. You’ll own recurring reports, contribute to experimentation, and provide actionable insights to help product teams prioritize features and refine user experiences. This is a great opportunity for someone with early-career analytics experience looking to deepen their technical skills and make an impact on customer-facing product decisions.
Responsibilities
Analytical
Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points
Translate findings into clear insights to support product development and UX initiatives
Statistical Analysis
Experimentation & A/B Testing