Top Sports Business Intelligence (BI) Jobs

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

Lead a data analytics team to provide insights for customer acquisition strategies, manage attribution frameworks, and build forecasting models.

Lead and execute business reporting and product analytics for internal enterprise apps. Build and maintain Power BI dashboards and data models, perform hands-on analysis, ensure reporting accuracy and governance, partner with Finance/Product/Engineering, manage a team, and drive analytics adoption and data quality improvements.

The Analyst, Business Intelligence will enhance decision-making for Corporate Partnerships & Premium Hospitality by executing analytics, developing dashboards, and providing actionable insights.

The Director of Marketing Analytics will oversee data collection, modeling, and visualization to provide actionable insights for marketing strategies, manage analytics roadmaps, and champion data usage across the team.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

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

Lead the establishment of a consumer insights function, overseeing research projects, developing sponsorship ROI models, and collaborating with stakeholders to drive insights and strategic initiatives.

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.