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.

Responsibilities:

• 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

Qualifications:

• 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

Responsibilities and qualifications may change at any time with or without notice.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.