Top Remote Sports Data & Analytics Jobs

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.

Monitor and validate sports data pipelines, detect and trace inaccuracies, define validation tests, research roster and participation data, support feature development and model analysis with Data Scientists, document findings, and maintain familiarity with databases and metadata.

The Data Engineer I will build and maintain data pipelines, contribute to platform code, and integrate data sources while growing alongside senior engineers in a production-focused role.

Review and label football game film using browser-based tooling to convert on-field actions into structured data. Maintain high accuracy, follow defined rulesets, meet turnaround timelines (including nights/weekends), participate in quality reviews, and communicate edge cases while improving tagging standards.

Design, build, and maintain data pipelines and backend systems to automate reporting and support cross-functional teams. Own project prioritization, collaborate with stakeholders (Accounting, Finance, Supply Chain, Publishing), and iterate to improve cost, reliability, and access to data across the organization.

The Senior Game Integrity Analyst safeguards poker gameplay integrity by investigating suspicious behavior, providing analytical insights, and enhancing detection tools.

The Senior Analytics Specialist develops processes for digital optimization and collaborates on A/B and multivariate testing through data insights.

As a Senior Data Scientist, you will analyze marketing strategies through predictive modeling and data analysis, and measure the impact of marketing investments on player behavior and retention. You'll collaborate with various teams to turn data into strategic insights, drive user acquisition and retention, and continuously improve marketing data usage.

Lead the vision and execution of a scalable, multi-tenant data platform: own ingestion, warehouse, transformation, BI, and AI-on-data layers. Manage and grow a data engineering team, define engineering standards (CI/CD, infra-as-code, testing, lineage), productize integrations, and collaborate with Product, Engineering, and GTM for client onboarding and data delivery.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.