Top Remote Sports Data & Analytics Jobs

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

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.

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.

Analyze and report on agency, advertiser, sport, and product revenue trends. Produce recurring and ad-hoc analytics and financial reports, present insights to stakeholders, quality-control datasets, and recommend strategies to maximize ad sales revenue.

Manage sports platform operations, develop risk management frameworks, and oversee trading activities to optimize profits in sports gaming.

Remote, part-time unpaid internship supporting the Data Department by manually clipping video and tagging image/frame locations to meet weekly quotas (~10-15 hours/week). Interns perform repetitive annotation tasks, contribute to research projects, and collaborate with baseball analytics and performance teams.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Manage client risk and maximize margins by making +EV pre-match and in-play decisions. Monitor depth charts, research verified news, analyze betting trends, and convert data into quantifiable trading actions. Work flexible hours and collaborate with cross-functional teams to improve processes and profitability.

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.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.