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Football Data Analyst Jobs in Michigan (NOW HIRING)

TOCA Football

District Manager

Novi, MI · On-site

$80 - $100/hr

Market Growth & Strategic Execution (10%) * Use performance data and center analytics to guide ... Passion for player development and community impact TOCA Football is an equal opportunity employer.

TOCA Football

Soccer Skills Trainer

Wixom, MI · On-site

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility amp; Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the ...

TOCA Football

Soccer Skills Trainer

Wixom, MI · On-site

Support efforts to win back players, analyze data, and adjust training methods as needed. Facility & Culture MVP (10%) * Keep the facility a fun, clean, and inviting space. You create the atmosphere ...

TOCA Football

District Manager

Detroit, MI · On-site

Market Growth & Strategic Execution (10%) * Use performance data and center analytics to guide leadership coaching and business decisions * Identify operational improvements, programming ...

All JobsFootball Data Analyst JobsFootball Data Analyst Jobs in Michigan

Football Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do football data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for football data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a football data analyst?

A Football Data Analyst collects, processes, and interprets football-related data to provide insights for teams, coaches, and scouts. They use statistical analysis, tracking data, and performance metrics to evaluate players, tactics, and opposition strategies. Their work helps improve team performance, recruitment decisions, and match preparation. Analysts often use software, coding languages, and data visualization tools to present findings effectively.

What are some typical daily responsibilities of a football data analyst?

A Football Data Analyst typically spends their day collecting and processing match or training data, conducting statistical analyses to identify trends, and preparing reports or visualizations for coaches and management. They often attend team meetings to discuss insights and collaborate closely with coaching staff and other performance professionals. The role also involves staying updated on the latest analytical tools and methods, ensuring the team leverages cutting-edge techniques. Effective communication and adaptability are essential, as priorities can shift quickly based on match schedules or management needs.

What are the key skills and qualifications needed to thrive in the football data analyst position, and why are they important?

To thrive as a Football Data Analyst, you need strong statistical analysis skills, expertise in football tactics, and usually a degree in mathematics, statistics, sports science, or a related field. Proficiency in data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is commonly required, along with certifications in data analysis or relevant software. Attention to detail, effective communication, and teamwork are vital soft skills for conveying insights to coaches and collaborating with diverse teams. These skills enable the analyst to accurately interpret data, support performance improvements, and drive informed decision-making within a competitive sports environment.

Do NFL teams hire football data analysts?

Yes, NFL teams often hire football data analysts to evaluate player performance, develop strategies, and improve team decision-making using advanced statistics and data analysis tools. These roles typically require strong analytical skills, knowledge of football, and proficiency with data software such as SQL or Python.

How to become a football data analyst?

To become a football data analyst, you typically need a strong background in statistics, data analysis, or sports science, often gained through a relevant degree or certification. Proficiency in data tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and metrics. Gaining experience through internships or entry-level roles in sports analytics can also help build a career in this field.

What does a football data analyst do in football?

A football data analyst collects, analyzes, and interprets match and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to identify patterns, evaluate player metrics, and support decision-making for coaching staff and management.

What are the most commonly searched types of Football Data Analyst jobs in Michigan?

The most popular types of Football Data Analyst jobs in Michigan are:

What are popular job titles related to Football Data Analyst jobs in Michigan?

For Football Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Football Data Analyst jobs in Michigan look for?

The top searched job categories for Football Data Analyst jobs in Michigan are:

Football Data Analyst jobs near you
Infographic showing various Football Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Quantitative Research Intern

Detroit Lions

Allen Park, MI • On-site

Part-time, Internship

Posted 3 days ago

New

Job description

The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club's Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.
Qualifications
  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Ability to build statistical models in R or Python required
  • Coursework in statistics and/or machine learning required
  • Strong quantitative intuition
  • Self-directed, proactive, and able to work independently

Optional Supplemental Materials
  • If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

Time Commitment
This is a remote, part-time position. Interns will focus on a single football research project over a 10-week periodOver the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.

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