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Sports Data Analyst Jobs in Indiana (NOW HIRING)

Club Sports Coordinator

Fort Wayne, IN · On-site

$43K - $45K/yr

Leads assessment, reporting, and continuous improvement efforts for Club Sports programs through data collection and analysis to inform decision-making and program development. * Other duties as ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you ...

As the largest licensed sports retailer in North America, we bring sports, fashion, and culture ... Monitor data accuracy and assist with routine audits to ensure integrity across systems. * Help ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... the Sports and Entertainment industry is a strong plus. • Strong problem-solving skills and ...

As the largest licensed sports retailer in North America, we bring sports, fashion, and culture ... Exceptionally proficient in cross-functional data sets and identifying trends/anomalies against ...

Sr. FP&A Analyst

Indianapolis, IN · On-site

$81K - $101K/yr

Description Sr. FP&A Analyst About Our Company Lids Sports Group is the largest licensed sports ... Exceptionally proficient in cross-functional data sets and identifying trends/anomalies against ...

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Showing results 1-20

Sports Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do sports data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for sports 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 do sports data analysts get paid?

Sports data analysts typically earn between $50,000 and $80,000 annually, with entry-level positions starting around $40,000 and experienced professionals earning over $100,000. Salaries vary based on experience, location, and the level of technical skills such as data modeling and statistical analysis.

What are the key skills and qualifications needed to thrive as a sports data analyst, and why are they important?

To thrive as a Sports Data Analyst, you need strong statistical analysis skills, a solid understanding of sports, and a relevant degree in mathematics, statistics, or data science. Proficiency in data analytics tools such as SQL, Python, R, and specialized sports analytics software is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present insights clearly to coaches and management. These skills are crucial for transforming raw data into actionable strategies that enhance team performance and decision-making.

What is the difference between Sports Data Analyst vs Sports Statistician?

AspectSports Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or Master's in Statistics, Mathematics, or related fields; strong statistical background
Work EnvironmentSports teams, analytics firms, media companiesResearch institutions, sports organizations, consulting firms
Employer & Industry UsageUsed for performance analysis, game strategy, and fan engagementUsed for statistical modeling, historical data analysis, and research

While both roles involve working with sports data, Sports Data Analysts focus on interpreting data for performance insights and strategic decisions, often using modern analytics tools. Sports Statisticians primarily handle statistical modeling and historical data analysis, emphasizing research and accuracy. Both roles are essential in the sports industry but serve different functions based on their focus and skill sets.

How do you become a sports data analyst?

To become a sports data analyst, typically a bachelor's degree in statistics, data science, sports management, or a related field is required. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, along with knowledge of sports metrics and statistics, is essential. Gaining experience through internships or entry-level roles can also help build expertise in analyzing sports performance data.

What is a sports data analyst?

A sports data analyst is a professional who collects, analyzes, and interprets sports-related data to provide insights on team performance, player statistics, and game strategies. They often use statistical software, data visualization tools, and have knowledge of sports analytics methodologies to support decision-making in teams or organizations.

How do sports data analysts typically collaborate with coaches and athletes to impact team performance?

Sports Data Analysts work closely with coaches and athletes by translating complex data into actionable insights, such as identifying player strengths, weaknesses, and trends that can influence game strategies. Analysts often attend team meetings, review performance footage, and present their findings in clear, visual formats to ensure that coaching staff and athletes can easily apply the information. This collaborative approach helps teams make data-driven decisions on player selection, training focus, and in-game tactics, ultimately aiming to enhance overall team performance.

Can a sports data analyst work in sports?

Yes, sports data analysts often work directly within sports organizations, teams, or leagues to analyze player performance, game statistics, and team strategies. They use tools like statistical software and data visualization to support decision-making and improve team performance.
What are popular job titles related to Sports Data Analyst jobs in Indiana? For Sports Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Sports Data Analyst jobs in Indiana look for? The top searched job categories for Sports Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Sports Data Analyst jobs? Cities in Indiana with the most Sports Data Analyst job openings:
Infographic showing various Sports Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Scientist/ML/AI Engineer - Junior (Remote)

SynergisticIT

West Lafayette, IN • On-site

Other

Posted 11 days ago


Job description

Don’t Let the Job Market Intimidate You ! Let’s get You Interviews and Offers with a Process! The tech job market can feel overwhelming, especially with layoffs and increased competition. But you don’t have to navigate it alone. SynergisticIT gives you the toolsand support needed to stand out. You’ll work on real projects, master in‑demand technologies, and receive interview preparation that boosts your confidence. Also get your profile directly to Fortune 500 companies, ensuring your skills reach real hiring managers. Instead of feeling intimidated, you’ll feel empowered. The job market isn’t impossible — you just need the right strategy, and Synergisticit provides exactly that. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It’s also one of the most fixable—because interview performance is rarely about intelligence. It’s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don’t learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it’s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the “why”) Poor project explanation (you built something, but can’t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport. You don’t just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can’t convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs If you’re already getting interviews, you’re closer than you think. Now it’s time to train like you mean it—and turn interviews into offers. If you want to explore, here are the key links: please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.