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Sports Analytics Jobs in Rochester, MN (NOW HIRING)

Do you love sports, fitness, fashion or the outdoors? SCHEELS can turn your passion into a ... Analyze reports and make decisions about purchasing of inventory, arrangement of merchandise, and ...

Do you love sports, fitness, fashion or the outdoors? SCHEELS can turn your passion into a ... Analyze reports and make decisions about purchasing of inventory, arrangement of merchandise, and ...

Do you love sports, fitness, fashion or the outdoors? SCHEELS can turn your passion into a ... Analyze reports and make decisions about purchasing of inventory, arrangement of merchandise, and ...

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Sports Analytics information

See Rochester, MN salary details

$65.6K

$127.4K

$182K

How much do sports analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for sports analytics in Rochester, MN is $127,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $151,500.00 per year, depending on experience, location, and employer.

How does a sports analytics professional typically collaborate with coaches and athletes to influence game strategies?

Sports analytics professionals work closely with coaches and athletes by providing data-driven insights that inform tactical decisions and player development. They often translate complex statistical findings into actionable recommendations, such as identifying strengths and weaknesses or optimizing lineups. Effective collaboration requires strong communication skills and the ability to tailor analyses to the team's goals, ensuring that data supports real-time decision-making and long-term strategy. Regular meetings, presentations, and feedback sessions are common to ensure alignment between analytics staff and on-field personnel.

What is sports analytics?

Sports analytics is a field of applied statistics that uses past performance data to provide a competitive advantage to a team or individual player. By using data, an analyst can make suggestions on strategies for a given game, monitor the performance of a player, and provide quick analysis of potentially record-setting activities. Sports analytics focuses on two areas: on-field and off-field. The on-field analysis helps improve the tactics and fitness of players, while the off-field analysis focuses on the business and merchandising aspect of sports. Sports analytics is also used in sports gambling to help casinos and similar companies decide on which odds to offer to customers.

How do I get into sports analytics?

To pursue a career in sports analytics, develop strong skills in statistics, data analysis, and programming languages like Python or R. Gaining experience through internships, building a portfolio of projects, and understanding sports data sources can improve your prospects; a background in sports management or related fields is also beneficial.

What are careers in sports analytics?

Careers in sports analytics involve analyzing athletic performance, game data, and team strategies using statistical tools and software. Common roles include sports data analyst, performance analyst, and data scientist, often requiring skills in programming, statistics, and knowledge of sports. These positions are typically found with professional teams, sports organizations, or media outlets and may require a bachelor's degree in a related field.

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

To thrive as a Sports Analyst, you need strong statistical analysis skills, a solid understanding of sports rules and strategies, and often a degree in statistics, data science, or a related field. Familiarity with analytics software such as R, Python, SQL, and sports-specific databases is typically expected. Attention to detail, critical thinking, and effective communication help interpret complex data and present actionable insights to coaches and teams. These capabilities are vital for making data-driven decisions that improve team performance and competitive edge.

What degree is needed for sports analytics?

A bachelor's degree in fields such as sports management, statistics, data science, computer science, or a related discipline is typically required for sports analytics roles. Advanced positions may prefer or require a master's degree or higher, along with skills in programming, data analysis, and familiarity with analytics tools like R or Python.

What is sports analytics?

Sports analytics refers to the use of data and statistical methods to analyze athletic performance, strategies, and business operations within the sports industry. Professionals in this field collect and interpret data to help teams make informed decisions about player recruitment, game tactics, injury prevention, and fan engagement. The insights gained from sports analytics can provide a competitive edge and drive improvements both on and off the field. With advances in technology, the scope of sports analytics has expanded to include machine learning, video analysis, and wearable devices.

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

AspectSports AnalyticsSports Data Analyst
CredentialsDegree in statistics, data science, sports managementDegree in statistics, data science, sports management
Work EnvironmentResearch, modeling, strategic planning in sports organizationsData collection, analysis, reporting for teams and organizations
Industry UsageUsed for performance optimization, game strategy, player evaluationUsed for data reporting, insights, and performance tracking

Sports Analytics and Sports Data Analysts share similar educational backgrounds and work environments, focusing on data-driven decision making in sports. While Sports Analytics often involves developing models and strategic insights, Sports Data Analysts primarily focus on collecting and reporting data. Both roles are essential in sports organizations, but Sports Analytics tends to have a broader scope in strategic planning and predictive modeling.

What job categories do people searching Sports Analytics jobs in Rochester, MN look for? The top searched job categories for Sports Analytics jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Sports Analytics jobs? Cities near Rochester, MN with the most Sports Analytics job openings:
Infographic showing various Sports Analytics job openings in Rochester, MN as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Rochester, MN • On-site

$15.50 - $19.25/hr

Other

Re-posted 16 days ago


Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only  Semester: Fall 2025 Location: Remote 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelor’s or master’s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required. 
  • Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.