Intern, Hockey Analytics
Chicago Blackhawks, Chicago, IL, United States
Job Title:
2026 Fall Intern, Hockey Analytics
Department:
Hockey Strategy & Analytics
Location:
Chicago/United Center
Hours:
9:00 am - 5:00 pm / Monday – Friday (may vary based upon game schedule)
Status:
Seasonal, Non-Exempt
Reports to:
Director, Hockey Analytics
Compensation:
$20 per hour
Duration:
9/7/2026 - 12/18/2026
We are an equal opportunity employer that values diversity. All individuals regardless of personal characteristics are encouraged to apply. All qualified applications will receive consideration for employment without regard to gender, race, religion or religious creed, color, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases.
Role Summary
As a data science intern in our Hockey Strategy and Analytics group, you’ll be working closely with our analytics team to help build foundational statistical models. Candidates will have the opportunity to gain experience with statistical programming and combine quantitative skills with hockey domain knowledge to assist with hockey operations decision making.
Learning Objectives
Gain experience and understanding of how data science and statistical modeling are applied within a professional hockey operations environment to inform real-world decision making.
Apply academic knowledge in statistics and programming to real-world hockey research questions spanning player evaluation, roster construction, and in-game strategy.
Develop professional communication skills by translating complex analytical findings into clear, actionable insights for non-technical hockey operations stakeholders.
Key Responsibilities And Projects
Support development of efficient, timely, and actionable data-driven decisions that enhance current and future performance across Hockey Operations.
Build statistical models to answer hockey research questions.
Work collaboratively with stakeholders throughout Hockey Operations to formulate hypotheses, analyze data, and effectively deliver insights to optimize player evaluation, acquisition, development, roster construction, in-game strategy, and more.
Work collaboratively with the Hockey Systems team to help integrate work into internal applications and maintain data quality across internal and external data sources.
Communicate findings through written reports, presentations, and informal conversations.
Expected Outcomes / Deliverables
Complete at least one independent or semi-independent analytical research project that addresses a defined hockey operations question, from hypothesis formulation through final delivery of findings.
Contribute meaningfully to ongoing model development or data infrastructure efforts within the Hockey Strategy and Analytics group.
Demonstrate growth in the ability to independently scope analytical problems, select appropriate methodologies, and communicate results effectively.
Deliver clean, well-documented code that adheres to team standards and can be maintained or built upon after the internship concludes.
Qualifications & Requirements
Currently enrolled in or recently graduated with a bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Economics, Finance, Business Analytics, or related fields.
Proficiency with one or more statistical programming languages, preferably Python.
Experience with SQL.
Demonstrated experience with statistical modeling through coursework or personal projects.
No previous hockey experience required, but demonstrated interest in hockey preferred.
Perks And Benefits
Competitive total rewards package, full benefits (medical, dental, vision, 401k matching, paid life insurance), employee assistance program, comprehensive PTO package, social events, volunteer opportunities, learning and development.
Employer‑paid breakfast, lunch, parking, on‑site gym and training classes, employee ticket program, and more.
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2026 Fall Intern, Hockey Analytics
Department:
Hockey Strategy & Analytics
Location:
Chicago/United Center
Hours:
9:00 am - 5:00 pm / Monday – Friday (may vary based upon game schedule)
Status:
Seasonal, Non-Exempt
Reports to:
Director, Hockey Analytics
Compensation:
$20 per hour
Duration:
9/7/2026 - 12/18/2026
We are an equal opportunity employer that values diversity. All individuals regardless of personal characteristics are encouraged to apply. All qualified applications will receive consideration for employment without regard to gender, race, religion or religious creed, color, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases.
Role Summary
As a data science intern in our Hockey Strategy and Analytics group, you’ll be working closely with our analytics team to help build foundational statistical models. Candidates will have the opportunity to gain experience with statistical programming and combine quantitative skills with hockey domain knowledge to assist with hockey operations decision making.
Learning Objectives
Gain experience and understanding of how data science and statistical modeling are applied within a professional hockey operations environment to inform real-world decision making.
Apply academic knowledge in statistics and programming to real-world hockey research questions spanning player evaluation, roster construction, and in-game strategy.
Develop professional communication skills by translating complex analytical findings into clear, actionable insights for non-technical hockey operations stakeholders.
Key Responsibilities And Projects
Support development of efficient, timely, and actionable data-driven decisions that enhance current and future performance across Hockey Operations.
Build statistical models to answer hockey research questions.
Work collaboratively with stakeholders throughout Hockey Operations to formulate hypotheses, analyze data, and effectively deliver insights to optimize player evaluation, acquisition, development, roster construction, in-game strategy, and more.
Work collaboratively with the Hockey Systems team to help integrate work into internal applications and maintain data quality across internal and external data sources.
Communicate findings through written reports, presentations, and informal conversations.
Expected Outcomes / Deliverables
Complete at least one independent or semi-independent analytical research project that addresses a defined hockey operations question, from hypothesis formulation through final delivery of findings.
Contribute meaningfully to ongoing model development or data infrastructure efforts within the Hockey Strategy and Analytics group.
Demonstrate growth in the ability to independently scope analytical problems, select appropriate methodologies, and communicate results effectively.
Deliver clean, well-documented code that adheres to team standards and can be maintained or built upon after the internship concludes.
Qualifications & Requirements
Currently enrolled in or recently graduated with a bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Economics, Finance, Business Analytics, or related fields.
Proficiency with one or more statistical programming languages, preferably Python.
Experience with SQL.
Demonstrated experience with statistical modeling through coursework or personal projects.
No previous hockey experience required, but demonstrated interest in hockey preferred.
Perks And Benefits
Competitive total rewards package, full benefits (medical, dental, vision, 401k matching, paid life insurance), employee assistance program, comprehensive PTO package, social events, volunteer opportunities, learning and development.
Employer‑paid breakfast, lunch, parking, on‑site gym and training classes, employee ticket program, and more.
#J-18808-Ljbffr