Senior Analyst – Player Experience & Product

About Us

We are BetMGM. We are revolutionizing sports betting and online gaming in the United States. We are a partnership between two powerhouse organizations—MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Sportsbook, Borgata online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms.

We understand that each card in the deck plays a unique role in any given hand, just as our employees each play a unique role in accomplishing our goals as a company. We strive to create a culture of empathy where our employees feel valued, heard, and comfortable bringing their authentic selves to work. We want to build a product and a workplace that reflect the communities we serve so we approach our work fearlessly, take responsibility when we get it wrong, and ante-up again. We play to win, and we are all-in together.

We were recognized as one of Glassdoor’s “Best Places to Work”.

About the Role

Join an innovative, fast-paced analytics team at the cutting edge of sports betting and online gaming! As a Product Analyst, you will dive deep into the fascinating world of player behaviors and trends, leveraging advanced statistical models and experimentation to shape engaging, data-driven product experiences. If you are passionate about turning complex data into strategic insights and thrive in a dynamic, collaborative environment, this role is your opportunity to make a significant impact on the player experience and drive the success of our exciting products.

Responsibilities

• Conduct deep-dive analyses to identify customer trends, player behaviors, and market opportunities within sports betting and online gaming products

• Conduct deep-dive analyses to identify player trends, behavioral patterns, and product opportunities

• Translate complex data into actionable insights to support strategic decision-making across product development, marketing, and customer retention

• Translate complex data into clear, actionable insights to inform product development and customer engagement strategies

• Utilize statistical techniques, including but not limited to:

  • Hypothesis Testing

  • Regression Analysis (Linear, Logistic, Multivariate)

  • Bayesian inference and probabilistic modeling

• Leverage statistical modeling and forecasting methodologies to support product strategies, experimentation, and decision-making

• Design, implement, and analyze rigorous experimentation frameworks including A/B tests, multi-armed bandit tests, uplift modeling, and quasi-experimental methods (e.g., Difference-in-Differences) to measure causal impacts of product changes

• Create and maintain interactive dashboards and reports using Python Dash, clearly presenting insights to stakeholders

• Effectively communicate complex analytical insights and recommendations to stakeholders.

• Craft compelling data-driven stories and develop engaging presentation decks to clearly articulate insights, findings, and recommendations to stakeholders

• Write efficient and maintainable code using Python (pandas, NumPy, scikit-learn, SciPy, Statsmodels)

• Ability to write complex SQL queries and work with large-scale datasets (experience with Snowflake a plus)

• Familiarity with product analytics, including understanding customer behavior patterns, user journeys, product lifecycle, and engagement metrics

• Ability to identify product opportunities and areas for improvement based on data-driven insights

• Experience working closely with product management teams to drive feature prioritization and product strategy

Essential Functions

• Must be able to stand or sit and operate computers and other technological devices for extended periods of time

Qualifications  

• Degree in Statistics, Mathematics, Physics, or related quantitative field (advanced degree preferred)

• 2+ years of product analytical experience

• Strong proficiency in Python for data analysis, statistical modeling, and visualization.

• Proven experience with Dash for interactive dashboard creation

• Experience designing and analyzing rigorous A/B tests and experiments

• Demonstrated experience with statistical analysis, including regression, clustering, predictive modeling, Bayesian methods, and inferential statistics

• Strong analytical thinking, problem-solving skills, and attention to detail

• Excellent communication skills, ability