Top Remote Sports Data & Analytics Jobs

Lead design, development, and maintenance of enterprise HR reports and dashboards in Workday and BI tools. Translate workforce data into executive-ready insights, enforce data governance and quality, manage reporting security, enable self-service analytics, and drive AI-informed reporting strategy and platform implementations across a global workforce.

Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.

Build and maintain Snowflake and dbt data platforms, including ELT pipelines, tested models, orchestration, monitoring, documentation, access controls, and governance. Optimize performance and costs while ensuring reliable, discoverable data for internal dashboards, client products, and AI/ML use cases. Translate ambiguous stakeholder needs into durable solutions and apply strong software engineering practices, including Git, CI/CD, code review, Python, testing, and alerting.

Build and maintain a regulatory reporting data platform using SQL and dbt, including models, automated validations, data pipelines, and testing. Investigate data issues end to end, validate submissions, support audits and legal data requests, monitor upstream changes, collaborate with product, engineering, compliance, and leadership, and participate in on-call coverage. WOOF WOOF

Scout collegiate basketball games from stadiums using proprietary software to quickly and accurately record live game information. Responsibilities include identifying basketball concepts and player details throughout games, maintaining reliable communication and punctuality, and traveling to assigned venues as needed. The primarily part-time, pay-per-game role runs from October 15, 2025, through April 15, 2026, with opportunities for incentives and future advancement.

Support subscriber forecasting and acquisition planning for Disney+ US/Canada and Hulu. Build and improve forecast models, analyze KPI trends and variances, evaluate strategic initiatives, produce executive-ready presentations, and coordinate with cross-functional teams to align assumptions and drive subscriber growth.

Analyze and chart game and practice video to create sophisticated datasets supporting player development research and decision-making. Present findings through reports, presentations, and ongoing results while collaborating across functions. The remote, part-time role requires responsiveness, strong organization, attention to detail, confidentiality, and availability for short-notice assignments, evenings, weekends, and holidays.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

Build and operate low-latency, real-time data and ETL pipelines for sports analytics products. Support production systems during live events, develop predictive analytics and APIs, and integrate complex real-time datasets into consumer and enterprise offerings.

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.