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Football Data Analytics 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 ...

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 ...

The Fishers Freight brings indoor football also to the Fishers Event Center, kicking off its second ... Analyze market trends and fan data to identify new opportunities in sports and entertainment.

... 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 Analytics information

See Indiana salary details

$17.3K

$91K

$172K

How much do football data analytics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for football data analytics in Indiana is $90,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,746.00 and $123,272.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Football Data Analytics position, and why are they important?

To thrive in Football Data Analytics, you need a solid understanding of statistics, data modeling, and football tactics, often backed by a degree in mathematics, statistics, data science, or sports management. Familiarity with data analysis tools like Python, R, SQL, and sports analytics platforms (e.g., Opta, StatsBomb) is commonly required, as well as relevant certifications. Strong communication, problem-solving skills, and the ability to translate complex findings into actionable insights set top analysts apart. These abilities are crucial for providing valuable recommendations to coaching and management staff, ultimately helping to improve team performance and decision-making.

What is a Football Data Analytics job?

A Football Data Analytics job involves collecting, analyzing, and interpreting football-related data to provide insights that can improve team performance, player evaluation, and strategic decision-making. Analysts use statistical models, machine learning, and visualization tools to assess player metrics, match performance, and opponent strategies. These insights help coaches, scouts, and management make data-driven decisions in recruitment, tactics, and game preparation. The role requires a combination of football knowledge, data science skills, and proficiency in programming languages like Python or R.

What are typical daily responsibilities for someone working in Football Data Analytics?

In a Football Data Analytics role, your typical day might involve collecting and cleaning match data, conducting performance analyses, and preparing detailed reports for coaches or management. You could be responsible for designing predictive models to understand player efficiency, tracking team trends, or evaluating opponents using proprietary data sources. Collaboration with coaching, scouting, and medical teams is common, as you translate analytical insights into practical strategies. This role often requires juggling multiple projects at once and responding quickly to shifting team needs, especially during match preparations or transfer windows.

What are the most commonly searched types of Football Data Analytics jobs in Indiana? The most popular types of Football Data Analytics jobs in Indiana are:
What are popular job titles related to Football Data Analytics jobs in Indiana? For Football Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Football Data Analytics jobs in Indiana look for? The top searched job categories for Football Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Football Data Analytics jobs? Cities in Indiana with the most Football Data Analytics job openings:
Infographic showing various Football Data Analytics job openings in Indiana as of May 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $90,982 per year, or $43.7 per hour.
Data Engineer

Data Engineer

Indianapolis Colts

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 14 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.