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Football Data Analyst Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... This is a full-time position working from our main offices at the Indiana Farm Bureau Football ...

Analyze current performance, strengths, and weaknesses through observations, interviews, or data analysis. * Collaborate with Coaches, Athletic Director, Strength & Conditioning Coach, and athletes ...

... NFL Sunday Night Football, NBA Basketball, Big Ten Football, Major League Baseball, and the ... learn data-based results - Cold calling and prospecting for new clients - Secure marketing ...

... NFL Sunday Night Football, NBA Basketball, Big Ten Football, Major League Baseball, and the ... learn data-based results - Cold calling and prospecting for new clients - Secure marketing ...

... NFL Sunday Night Football, NBA Basketball, Big Ten Football, Major League Baseball, and the ... learn data-based results - Cold calling and prospecting for new clients - Secure marketing ...

Football Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do football data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for football data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

How much money does a football analyst make?

Football data analysts typically earn between $40,000 and $80,000 annually, depending on experience, location, and the level of the organization. Senior analysts or those working with top-tier teams can earn higher salaries, often exceeding $100,000 with additional bonuses or benefits.

How to become a data analyst in football?

To become a football data analyst, you typically need a degree in a relevant field such as statistics, data science, or sports management. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and performance metrics. Gaining experience through internships or entry-level roles in sports organizations can also improve job prospects.

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level positions may start lower, while experienced analysts with advanced skills in data visualization and statistical software can earn higher salaries, especially with additional certifications or specialized knowledge.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require knowledge of sports analytics, programming skills, and familiarity with data visualization software. Data analysts in sports may work closely with coaching staff and management to enhance team performance.

What is a Football Data Analyst job?

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 the most commonly searched types of Football Data Analyst jobs in Indiana? The most popular types of Football Data Analyst jobs in Indiana are:
What are popular job titles related to Football Data Analyst jobs in Indiana? For Football Data Analyst jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Football Data Analyst jobs? Cities in Indiana with the most Football Data Analyst job openings:
Infographic showing various Football Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $78,637 per year, or $37.8 per hour.
Data Engineer

Data Engineer

Indianapolis Colts

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 23 days ago


Job description

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales, marketing initiatives, fan engagement, and analytics efforts. Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value.
This is a full-time position working from our main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts core values in support of the team's mission to entertain, inspire and unite by winning the right way.
HIRING MANAGER
Vice President of Information Technology
RESPONSIBILITIES
• Data warehouse design, maintenance, performance tuning, and optimization.
• Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources.
• Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure).
• Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.
• Develop modeled data sets for commercial business in collaboration the Analytics & Digital Innovation team.
• Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery.
• Maintain data quality through validation, deduplication, and classification processes.
• Contribute to documentation of data processes, schemas, and workflows.
• Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance.
• Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies.
• Stay current with emerging technologies in data warehousing, pipelines, and reporting.
• Perform other duties as assigned.
QUALIFICATIONS
• Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and experience may be considered.
• 2 - 4 years of data engineering experience.
• Proficiency in Snowflake SQL/T-SQL and Python.
• Familiarity with Microsoft Azure and cloud-based data platforms.
• Understanding of APIs, version control (GitHub), and CI/CD workflows.
• Experience with reporting platforms, including modeling data in support of reporting and analysis.
• Preferred experience with Matillion, Melissa, Power BI, Salesforce, Ticketmaster, and Fanatics.
• Experience in the Sports and Entertainment industry is a strong plus.
• Strong problem-solving skills and attention to detail.
• Effective team collaboration, communication, and interpersonal skills.
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.