Lead Analyst, Player Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Revenue Operations, Marketing, Product, and VIP teams to prioritize and implement analytics projects aimed at player growth and long-term retention.

• Oversee comprehensive analytics on bonus programs, evaluating performance, formulating engagement strategies, and refining structures to enhance player value and ROI.

• Examine in-platform behavior across products to identify engagement trends, friction points, and monetization prospects. Convert insights into personalized strategies and product suggestions.

• Utilize machine learning techniques and AI tools to expedite insight generation, create predictive models, and continually elevate the capabilities of the analytics function.

⛳️ Requirements

• A minimum of 3 years of experience in analytics, preferably in gaming, sports betting, or a consumer product with significant behavioral data.

• A bachelor’s degree in mathematics, Economics, Engineering, Computer Science, or a related quantitative discipline is preferred, or equivalent relevant experience.

• Strong foundational knowledge of SQL, with proficiency in advanced topics such as window functions, CTEs, and complex aggregations.

• Comfortable working directly with Snowflake, crafting efficient queries for large datasets.

• Proven ability to collaborate across functions and translate complex analyses into clear narratives and actionable insights for non-technical audiences.

• A solid grasp of A/B testing and experimental design, including understanding statistical significance and contextualizing test outcomes for business applications.

• Experience with funnel and cohort analysis, including modeling player lifecycle stages, retention curves, and engagement funnels.

• Familiarity with machine learning concepts and direct experience applying AI tools in analytics workflows.

• Preferred familiarity with dbt transformation workflows and model structuring.

• Proficiency in Python for analysis, automation, or basic machine learning tasks is preferred.

• Working knowledge of segmentation models, propensity scoring, churn prediction, or lifetime value modeling is preferred.

• Experience in gaming or iGaming, including an understanding of sportsbook, casino, or poker product mechanics and player economics is preferred.

• Experience with analytics related to incentives or promotions is also advantageous.

• Willingness to travel occasionally, both domestically and internationally.

🏝️ Benefits

• Discretionary annual company bonus (Eligibility Varies by Role)

• 401(k) plan with 100% company match on the first 4%

• Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance

• Paid Time Off (Eligibility Varies by Role)

• Employee Assistance Program (EAP)