Lead Analyst, Player Analytics

RemoteLeadPosted Aug 17, 2026

SQLSnowflakePythonMachine learningAIdbt+3 more

About this role

Lead growth and player behavior analytics across sportsbook, casino, and poker products. Partner with Revenue Operations, Marketing, Product, and VIP to drive player engagement and retention through advanced analytics, ML, and AI tooling.

Must have

3+ years in analytics, ideally within gaming, sports betting, or consumer product with behavioral data

Bachelor's degree in mathematics, economics, engineering, computer science, or related quantitative field preferred

Strong SQL fundamentals with advanced concepts like window functions, CTEs, and complex aggregations

Comfortable working directly in Snowflake with large datasets

Proven ability to work cross-functionally and distill complex analysis for non-technical audiences

Solid understanding of A/B testing and experimental design including statistical significance

Experience with funnel and cohort analysis including player lifecycle and retention curves

Working knowledge of ML concepts and hands-on experience applying AI tools to analytics workflows

Familiarity with dbt transformation workflows preferred

Python proficiency for analysis, automation, or lightweight ML work preferred

Knowledge of segmentation models, propensity scoring, churn prediction, or LTV modeling preferred

Experience in gaming or iGaming including sportsbook, casino, or poker product mechanics preferred

Experience with incentive or promotion analytics preferred

Able to travel occasionally both domestically and internationally

Technologies

PythonSQLTestingMachine learningExcelSnowflakeData analyticsAIdbt

Responsibilities

Partner with Revenue Operations, Marketing, Product and VIP to prioritize analytics initiatives for player growth and retention

Manage end-to-end analytics on bonus programs measuring performance and optimizing structures for player value and ROI

Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities

Translate findings into personalization strategies and product recommendations

Apply ML techniques and AI tools to accelerate insight generation and build predictive models

Continuously raise the ceiling of what the analytics function can deliver

Benefits

RRSP and 401k matchComprehensive private benefits planEmployee Assistance ProgramHealth insuranceDental insuranceVision insuranceWellness platform with incentivesPaid vacationParental leave

Amenities

Work-life balance initiativesAutonomy with personal freedom and responsibilitySupportive people-oriented environmentOpportunities for professional and personal growthCollaborative atmosphere with passionate professionals