Senior Data Analytics Engineer

A digital streaming platform for underserved sports, providing live events, interactive features, real-time analytics, and original sports content.
Data
Senior Software Engineer
In-Person
5+ years of experience
Enterprise SaaS
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Description For Senior Data Analytics Engineer

FloSports is revolutionizing the digital streaming experience for underserved sports communities, seeking a Senior Data Analytics Engineer to join their Business Intelligence team. This role is crucial in managing their Snowflake data infrastructure, ML/AI models, and demand forecasting systems. The position offers an opportunity to work on sophisticated data projects including content valuation models similar to Netflix's adjusted view share, and customer lifetime value predictions.

The ideal candidate will bring strong expertise in data infrastructure, modeling, and ML/AI, with bonus points for experience in subscription-based DTC businesses and streaming services. You'll be working with cross-functional teams across Finance, Strategic Finance, Business Intelligence, Rights Acquisitions, and more, making significant impacts on the company's data-driven decision-making processes.

The role combines technical leadership in data engineering with strategic business impact, requiring both deep technical expertise and strong business acumen. You'll be responsible for everything from ETL processes to developing interactive demand forecasting dashboards, while contributing to the company's high value action (HVA) framework launching in 2025.

FloSports offers a competitive benefits package including medical coverage, equity awards, and a flexible work environment. The company has been recognized as a Top Workplace by the Austin-American Statesman for three consecutive years, demonstrating their commitment to employee satisfaction and growth. This is an excellent opportunity for a data professional looking to make a significant impact in the sports media industry while working with cutting-edge technology and data systems.

Last updated 3 months ago

Responsibilities For Senior Data Analytics Engineer

  • Serve as technical lead for Snowflake data infrastructure, schemas, modeling, and high value action infrastructure
  • Perform ETL from multiple sources, ensuring accuracy and consistency
  • Conduct in-depth analysis of financial and operational data
  • Complete full analytics lifecycle from business objectives to automated reporting
  • Act as subject matter expert on data sources
  • Support data product development for demand forecasting
  • Partner on experiment design and conduct causal analyses
  • Automate existing manual processes
  • Lead interactive demand forecasting dashboards development
  • Serve as thought leader for demand forecasting dashboards

Requirements For Senior Data Analytics Engineer

Python
  • BA/BS in Mathematics/Statistics, Finance, Computer Science, Engineering, or related field
  • 5+ years of professional experience as Business Intelligence Engineer, Data Engineer, or similar role
  • Expert in SQL
  • Strong background in Python
  • Deep understanding of statistical model building and data analyses
  • Experience with experiment design and implementation
  • Strong analytical skills for problem solving
  • Experience with data visualization tools (Tableau, Looker, Domo)
  • Ability to work collaboratively in fast-paced environment
  • Proficiency in communicating complex data concepts

Benefits For Senior Data Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Equity
  • Competitive medical, dental and vision plans
  • Company-paid disability and life insurance
  • 401(K) company match
  • Progressive parental leave
  • Flexible paid time off
  • Annual equity awards
  • Weekly catered lunch and breakfast tacos
  • Stocked snack bar
  • Team-building events
  • All-hands events in Austin, Texas

Interested in this job?