Senior Data Analytics Engineer

Flo Sports leads the way in delivering world‑class digital streaming for millions of fans, families, and athletes in underserved sports. Our digital platform unites casual and dedicated spectators alike, offering thrilling live events from around the world with interactive features, real‑time analytics, and powerful broadcast technology. As the essential destination for niche sports content, we deliver everything from breaking news and expert commentary to feature films, documentaries, and multi‑episodic series.

We've revolutionized the global sports media industry by building a diverse team—technologists and wrestlers, creators and cheerleading experts, designers and hockey enthusiasts, communicators and motor sport fanatics, producers and sports fans—all united by our passion to serve underrepresented sports communities. We're creating the ultimate destination for our sports, and we're looking for people like you to join us!

Flo Sports is seeking a Sr. Data Analytics Engineer to join our high‑impact Business Intelligence team. Our team owns company‑wide reporting, analytics, and insights, our Snowflake data infrastructure, and our ML/AI models. These include our content valuation model, similar to Netflix’s adjusted view share, and our demand forecasting models that forecast critical financial KPIs, including sign ups, viewership, engagement, and customer lifetime value (LTV).

To start, this role will be critical in refactoring and enhancing our existing data infrastructure, delivering value through the introduction of new demand forecasting modules, providing as needed expertise in advancing our A/B and multivariate experiment architecture, and playing a key role in the high value action (HVA) framework and data infrastructure that we’re building and launching in 2025. The ideal candidate will have domain experience in building data infrastructure, data schemas, data modeling, ML/AI models, and ideally some background in running experiments and building HVA frameworks.

Bonus points for familiarity with subscription‑based DTC businesses, OTT products, and/or SVOD and live event streaming services.

• Serve as one of our technical leads for our Snowflake data infrastructure, data schemas, data modeling, and high value action infrastructure.
• Extract, transform, and load (ETL) data from multiple sources, ensuring accuracy, integrity, and consistency.
• Perform in‑depth analysis of financial and operational data, identifying trends, patterns, and anomalies to provide meaningful insights and recommendations.
• Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations.
• Act as a subject matter expert on internal/external data sources, ensuring anomalies are identified and addressed proactively.
• Support the data product development for demand forecasting, partnering cross‑functionally across Finance, Strategic Finance, Business Intelligence, Rights Acquisitions, Ad Sales, Content, Marketing, and Vertical GMs.
• Partner on experiment design and conduct causal analyses to provide actionable insights that inform the demand forecasting model(s) and key business decisions.
• Research, recommend, and learn new analytics tools and platforms.
• Automate existing manual processes and identify areas for further improvements.
• Serve as a thought leader for interactive demand forecasting dashboards that inform key stakeholders about the health drivers for historical performance and serve as a forward‑looking evaluator of our programming strategy and execution.
• Passion about growing Our Sports within the sports media industry and establishing a working knowledge of the key players and their events.

• BA/BS in Mathematics/Statistics, Finance, Computer Science, Engineering, Operations Research, or other technical field, advanced analytics degrees preferred.
• 5+ years of professional experience as a Business Intelligence Engineer, Data Engineer, Data Analyst or similar role, preferably in a SaaS or subscription‑based business.
• Oversees the entire process of a data project from concept,…