Top Sports Data & Analytics Jobs

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

Monitor and verify live sports data during games, ensure accuracy and consistency across systems, resolve discrepancies in real time, cross-check multiple sources, collaborate to streamline processes, and stay current on schedules, rosters, rules, and performance metrics.

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

As an Analytics Manager in Growth, you'll lead reporting and insights on customer activation, conduct analyses to optimize customer experiences, collaborate with teams for key metrics, and manage growth initiatives.

This role involves optimizing game operations by analyzing member behavior, identifying vulnerabilities in games, and collaborating on trading methods.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

The Poker Analyst supports the Poker team by analyzing game data, shaping policies, managing game types, and coordinating gameplay flow during events.

Conduct experiments and analyses to inform product strategy, build self-service analytics and dashboards, define metrics, collaborate with Product and Engineering on event tracking and data pipelines, and provide actionable insights to increase user engagement for a subscription sports media product.

The Planner Wholesale manages sales, inventory, and forecasting for wholesale accounts. Responsibilities include planning, analysis, communication, and cross-functional collaboration to meet financial targets.

Own and evolve BI for Global DTC channels: define roadmap, design and test metrics, manage delivery with scrum teams, improve data quality and governance, build reports and train users to drive adoption and revenue/efficiency improvements.

Manage PDSE/product data processes across business units to ensure data completeness and quality; support product creation tools (testing, training, documentation); analyze systems, drive improvements with IT/D&T and Product Excellence; consolidate requirements; support sustainability reporting; coach junior managers.

The Regional Accounts Receivable Specialist supervises collections, analyzes aging reports, processes credits, and negotiates payment plans to maximize collections.

The Data Engineer will manage data extraction pipelines, modernize data systems, implement monitoring tools, optimize workflows, and support compliance requirements using various tools and platforms.