Indianapolis Colts-posted 3 months ago
Full-time • Entry Level
Indianapolis, IN
101-250 employees

The Indianapolis Colts are seeking a Football Data Analyst to join our Football Analytics team. In this role, you will work closely with our Football Operations departments (Coaching, Personnel/Scouting, and Health & Performance) to develop novel metrics, build statistical models, and turn football data into insights supporting key areas such as in-game strategy, roster construction, and player health and safety.

  • Conduct research and analysis on NFL and NCAA football data
  • Leverage multiple data sources to analyze trends and generate testable hypotheses
  • Develop and implement predictive models, including but not limited to, gradient boosting, random forests, generalized linear models, and neural networks
  • Perform ad hoc analyses and provide research support for coaches, front office, and performance departments
  • Create actionable and interpretable reports on research findings for both technical and non-technical audiences
  • Strong proficiency programming in Python (preferred) or R
  • Experience with machine learning and statistical modeling techniques (gradient boosting, regression, classification)
  • Familiarity with statistical modeling methodologies (e.g. hypothesis testing, regression analysis, data sampling techniques)
  • Proficiency in writing SQL queries
  • Demonstrated problem-solving and critical thinking skills
  • Ability to manage multiple projects with varying deadlines
  • Strong communication skills
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