Staff Data Analyst

Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow—from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the markets that matter most, and we’re looking for the right people to help us build the future of prediction markets.

Daily Fantasy will be part of Fanatics’s Markets product group. This role focuses on the Daily Fantasy product.

As a Staff Data Analyst at Fanatics Markets, you will drive the analytics function for our brand-new Daily Fantasy Sports (DFS) product. Reporting to the Director of Data for FMX, you will be a founding member of the FMX data team.

This role is ideal for a high-intensity, technically sophisticated analyst who thrives in "0-to-1" environments where infrastructure must be built from scratch. You will be a technical leader, combining strategic thinking with hands-on execution to drive growth in our key markets.

• Foundational Analytics: Build the initial data models and analytics infrastructure from the ground up for the newly launching DFS product.
• Experimentation & Impact: Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling.
• Strategic Partnership: Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape product strategy.
• Hands-on Execution: Deliver high-quality SQL queries, data modeling in dbt, and automated reporting to meet the high demand for insights across the FMX ecosystem.
• Cross-Functional Collaboration: Partner with data scientists and engineers to find solutions to complex business problems and maintain the "research lab to factory floor" connection.

• Experience: A minimum of 5 years of proven experience in an analytics role, ideally within a high-growth fintech or sports betting environment.
• Technical Mastery: Strong SQL proficiency and hands-on experience with dbt for data modeling are essential.
• Tooling: Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred.
• Statistical Rigor: Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks.
• Communication: Ability to present complex technical insights to non-technical senior stakeholders with clarity and business context.
• Education: A degree in a relevant field such as Mathematics, Statistics, Engineering, or Computer Science.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employee may also be eligible for a home office setup stipend.