Top Sports Data & Analytics Jobs

As VP of Content Analytics, you will lead analytics for DTC Content Strategy, shaping content decisions by translating complex data into actionable insights and managing cross-team collaborations while guiding a high-performing analytics team.

The Privacy Program Manager will build and lead the Privacy Program, ensuring compliance with privacy laws and conducting risk assessments. Major tasks include managing privacy governance, assessing vendor privacy risks, and reporting to the CISO.

The Senior Data Architect designs and delivers YETI's data and AI architecture, focusing on scalable data platforms, governance, and analytics across various business domains.

The Data Specialist will manage BIM data integration and digital ecosystem strategies to support the LA28 Olympic Games, focusing on operational readiness and data-driven decision-making.

Summer internship supporting Membership Services to analyze member data, identify growth trends and KPIs, build Power BI dashboards, perform statistical analysis, and assist with Microsoft Fabric and AI Copilot implementation.

Validate quotes and closed-won deals, audit deal and SKU accuracy, run Salesforce reports to surface data anomalies, manage Salesforce tickets and testing, and communicate cross-functionally to drive revenue process improvements.

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.

The Manager of Business Strategy & Analytics will lead data-driven decision-making, analyze fan insights, create reports, and manage analysts.

Lead enterprise analytics strategy and reporting across multiple business units, deliver executive-ready insights, design scalable BI frameworks, govern third-party analytics partners, and partner with technology teams to select and optimize BI tools and data infrastructure to drive consumer-facing growth.

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.