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.

As Director of Product Analytics, you'll lead a team to define strategies that optimize the online casino experience, influence product innovation, and deliver insights to drive engagement and growth.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.

Produce and analyze custom statistics and game notes for live sports broadcasts. Generate SQL-based reports and charts, assist with QA and dataset maintenance, communicate via ticketing systems, identify and escalate data quality issues, and deliver time-sensitive insights to support pregame, live, and postgame coverage across major leagues.

Produce and analyze specialized sports statistics and insights for live broadcasts and pre/post-game coverage. Generate custom reports and charts (using SQL), assist QA and dataset maintenance, manage client issues via ticketing systems, meet tight deadlines, identify quality issues, and support ad hoc broadcast research tasks across major U.S. and college sports.

Design, build, and maintain reliable data pipelines and models using SQL, Python, and Databricks/Spark. Translate multi-source schemas into scalable data models, enforce data hygiene and privacy, add tests/documentation/lineage, and collaborate with analytics, product, marketing, and vendor teams to deliver trustworthy data for personalization and marketing.

Early member of the Data & Analytics team responsible for end-to-end analyses and data products. Build and maintain dbt models, semantic layers, and dashboards (Power BI). Partner with Finance, Merchandising, Marketing, Operations and others; own metric definitions, validate AI-generated SQL/dbt/Python, investigate data discrepancies, and help evolve Snowflake-based data infrastructure and governance.

Drive people research and workforce analytics: design and execute research, analyze large datasets, standardize processes, ensure data governance, build visualizations and dashboards, and partner with stakeholders to deliver actionable insights that inform HR and business decisions.

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