Product Data Analyst
BetMGMAbout the role
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.
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.
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.
Location: Jersey City, NJ - Hybrid
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
Apply core statistical techniques such as:
Hypothesis testing
Regression analysis (linear/logistic)
Clustering or segmentation logic
Support forecasting and behavioral modeling with guidance from senior analysts
Experimentation & A/B Testing
Assist in the setup, monitoring, and analysis of A/B tests and product experiments
Contribute to test design and metric definition in collaboration with product managers
Summarize results and support interpretation of causal impacts
Data Visualization & Communication
Build and maintain dashboards using tools like Dash, Streamlite or Power BI
Present insights in recurring team syncs or product planning sessions
Document analyses and findings in a clear, stakeholder-friendly format
Qualifications
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Physics)
1+ years of experience in analytics, preferably in a product or customer behavior context
Proficiency in SQL and Python (pandas, NumPy); experience with Dash or visualization tools is a plus
Foundational knowledge of statistical concepts and experimentation
Experience working with data from digital products or user behavior tracking tools
Strong attention to detail, with the ability to translate data into actionable insights
Excellent communication and collaboration skills
The annual salary range for this position is $72,320 to $94,920. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also el
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