FloSports has led the way in establishing a world-class digital streaming experience for millions of fans, families, and athletes of underserved sports. Imagine creating a digital platform that unites the casual fan with the most dedicated spectator, both experiencing thrilling live events from around the world with interactive features, real time analytics, powerful broadcast technology, and more. Combine that with our unique original sports content ranging from breaking news and expert commentary to feature films, documentaries, and multi-episodic series. That’s what FloSports is all about. We have successfully revolutionized the global sports media industry- the result of creating a diverse team of technologists and die-hard wrestlers, creators and devoted cheerleading experts, designers and hockey enthusiasts, communicators and motorsport fanatics, producers and casual sports fans… united by a shared passion to delight the underrepresented communities we serve. We are creating the essential destination for our sports and we’re looking for people like you to help us!
THE ROLE:
FloSports is seeking a Data Analyst/Sr. Data Analyst to join our high-impact Business Intelligence team. This role will report to the Senior Manager, Business Intelligence. Our team owns company-wide reporting, analytics, and business insights, subscription demand forecasting, experiment set up and analyses, 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 several weekly initiatives, including standardized and one-off reporting, analytics, and insights projects, as well as larger scale and longer-term projects, including supporting our demand forecasting survey and content planning processes. The ideal candidate will have technical experience in data infrastructure, data schemas, data modeling, and ML/AI models. The candidate should also have a familiarity with or willingness to learn corporate finance and valuation. Bonus points for direct knowledge of subscription-based DTC businesses, OTT products, SVOD and live event streaming services, as well as working in a Strategic Finance and/or BI setting that supports financial, operational and business reporting and insights.
RESPONSIBILITIES:
Perform in-depth analysis of financial and operational data, identifying trends, patterns, and anomalies to provide meaningful insights and recommendations.
Build relationships with colleagues across engineering, product, business intelligence, content, marketing, and finance.
Collaborate