Senior Data Analytics Engineer

Job Description

Job Description

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 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.

RESPONSIBILITIES :

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.

KNOWLEDGE, SKILLS AND ABILITIES :

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, to requirements gathering, to production ready implementation. Led projects from concept through completion

Expert in SQL.

Strong background in Python (Excel is a plus), including statistical modeling; experience with data visualization tools, e.g., Tableau, Looker, Domo.

Deep understanding of statistical model building and data analyses, such as causal inference and regressions; expertise in numerical algorithms.

Experience with experiment design, implementation, analysis, and recommendation for actionable insights.

Strong analytical skills for problem solving; can perform descriptive and diagnostic analysis

Ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities effectively

Ability to use data to translate ambiguous problems into actionable solutions using dataAbility to find answers to ambiguous problems

Comfortable working with and querying large datasets, including datasets that some might describe as “messy”.

Experience forming effective cross-functional partnerships.

Analytical reasoning, intellectual curiosity, and attention to detail for maintaining code and data integrity.

Proficiency in communication, particularly communicating complex data concepts, to both technical and non-technical audiences.

BONUS POINTS :

Built a large portion of a database, ideally a cloud-based database, from the ground up.

Experience developing demand forecasting models and / or working in demand planning functions, particularly within a SaaS, subscription, and / or e-commerce business.

Experience with Streamlit in Snowflake for turning data and ML models into interactive apps with Python.

Familiarity with cloud based analytics and CRM platforms (Salesforce) and data visualization tools (Domo).

OUR COMMITMENT TO DIVERSITY :

At FloSports, we are bonded by our passion for sports and our purpose to unite communities around experiences that finally give underserved sports the love they deserve. We recognize the need to build a company that seeks out, embraces, and celebrates our individual differences, ideas, and talent. FloSports is committed to the pursuit of a fair, equal and inclusive workplace where everyone is given the opportunity to grow to their fullest potential.

OUR BENEFITS :

Recognized three years in a row as a Top Workplace by the Austin-American Statesman

Flexibility at work - you can take control of your profession and personal schedule

All-hands events hosted annually in beautiful Austin, Texas

Annual equity awards for all top performers

Competitive and comprehensive medical, dental and vision plans

Peace of mind through company-paid short-term disability, long-term disability and life insurance

Generous 401(K) company match vested immediately

Progressive parental leave policies

Flexible paid time off

Hack-a-thons and a full calendar of team-building and social events

Company donation to youth teams and leagues that our employees coach

Stocked snack bar, catered lunch and breakfast tacos every week