The following questions are representative of what candidates experience during the BetMGM interview process. While you should not memorize answers, use these to understand the patterns and types of scenarios you will be asked to navigate.

Behavioral & Culture Fit

These questions assess how you operate within a team, handle conflict, and align with the fast-paced nature of the business.

• Tell me about a time you had to learn a new domain or tool very quickly.
• Describe a situation where you disagreed with a stakeholder about a data interpretation. How did you handle it?
• Why are you interested in joining BetMGM and the sports betting industry?
• Tell me about a time you made a mistake in your analysis. How did you catch it and rectify it?
• How do you manage your time when you receive multiple urgent requests from different departments?

Business Case & Product Sense

These questions test your ability to apply analytical thinking to real-world business scenarios relevant to the platform.

• If our active user count is growing but our overall revenue is flat, what factors would you investigate?
• How would you evaluate the success of a new feature that allows users to cash out their bets early?
• We want to run a promotion giving users a $50 free bet. How would you determine if this promotion is actually profitable?
• Walk me through the metrics you would put on a daily health dashboard for the executive team.
• How would you identify users who are at a high risk of churning?

Technical & Data Analysis

These questions focus on your hard skills and your methodological approach to working with data.

• Explain the difference between a LEFT JOIN and an INNER JOIN, and give an example of when you would use each.
• How do you handle missing or dirty data in a dataset before beginning your analysis?
• Walk me through how you would use window functions in SQL to find the top 3 most profitable users per state.
• Explain a complex Excel model you have built from scratch.
• How do you ensure the accuracy and integrity of your data before presenting it to stakeholders?

Deep Dive into Evaluation Areas

Understanding exactly what your interviewers are looking for will help you tailor your responses effectively. The BetMGM team evaluates candidates across a few primary dimensions.

Analytical and Technical Proficiency

Your ability to handle data is non-negotiable. While you may not be expected to write complex production code, you must be highly proficient in querying databases, building models, and visualizing data.

Be ready to go over:

• SQL – Writing complex queries, understanding joins, window functions, and aggregations to pull specific user cohorts.
• Data Visualization – Using tools like Tableau or PowerBI to create dashboards that track daily active users or promotional ROI.
• Excel/Spreadsheet Modeling – Building pivot tables, using advanced formulas, and creating forecasting models.
• Advanced concepts (less common) – Basic Python or R for statistical analysis; A/B testing frameworks and statistical significance.

Example questions or scenarios:

• "Walk me through a complex SQL query you wrote to solve a specific business problem."
• "How would you design a dashboard to monitor the health of our new online casino product?"
• "Explain how you would set up an A/B test to determine the effectiveness of a new free-bet promotion."

Business and Product Acumen

BetMGM expects its analysts to understand the "why" behind the data. You need to demonstrate an understanding of digital product metrics and, ideally, how they apply to the sports betting and iGaming ecosystem.

Be ready to go over:

• KPI Identification – Knowing which metrics matter most (e.g., Gross Gaming Revenue, Handle, Churn Rate, Customer Acquisition Cost).
• Funnel Analysis – Identifying drop-offs in the user journey, from app download to first deposit to first bet.
• Promotional Strategy – Evaluating the cost versus long-term value of giving away promotional credits or deposit matches.
• Advanced concepts (less common) – Understanding sports betting margins, odds compilation basics, or regulatory impacts on user verification.

Example questions or scenarios:

• "If we noticed a 15% drop in first-time deposits week-over-week, how would you investigate the root cause?"
• "What metrics would you look at to evaluate the success of a Super Bowl acquisition campaign?"
• "How do you balance aggressive user acquisition with maintaining a profitable lifetime value (LTV)?"

Stakeholder Communication and Behavioral Fit

Because you will work with diverse teams—from highly technical engineers to marketing managers—your ability to communicate clearly and manage relationships is critical.

Be ready to go over:

• Translating Data – Explaining complex analytical findings to a non-technical audience.
• Pushback and Alignment – Handling situations where the data contradicts a stakeholder's gut feeling or preferred strategy.
• Prioritization – Managing multiple ad-hoc data requests from different departments simultaneously.

Example questions or scenarios:

• "Tell me about a time you had to present a difficult finding to leadership. How did you ensure they understood the data?"
• "Describe a situation where you had conflicting priorities from two different stakeholders. How did you resolve it?"
• "Give an example of a time your data analysis directly changed a product or marketing strategy."