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Data Science Sports Jobs in Minnesota (NOW HIRING)

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $50/hr

... processing and data entry skills About the Department The College of Education and Human ... Over 150 students enroll in six graduate degree programs (MEd in Sport and Exercise Science, Sport ...

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

... team sport. It's our mission to be there in the moments that matter most for our members and ... Master's degree in Data Science, Healthcare Analytics, Healthcare Economics or a related field

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

... team sport. It's our mission to be there in the moments that matter most for our members and ... Master's degree in Data Science, Healthcare Analytics, Healthcare Economics or a related field

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

... team sport. It's our mission to be there in the moments that matter most for our members and ... Master's degree in Data Science, Healthcare Analytics, Healthcare Economics or a related field

Senior Internal Auditor

Minneapolis, MN · On-site

$81K - $121K/yr

Bachelor's degree in Accounting, Finance, Business Administration, IT, Data Analytics/Data Science ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

Senior Internal Auditor

Minneapolis, MN · On-site

$81K - $121K/yr

Bachelor's degree in Accounting, Finance, Business Administration, IT, Data Analytics/Data Science ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

AI Platform Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

Partner with AI Engineers, Cloud Engineers, Data Scientists, and Operations teams to enable ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

AI Platform Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

Partner with AI Engineers, Cloud Engineers, Data Scientists, and Operations teams to enable ... like sports, renewable energy, data centers, healthcare, and more. We are builders at heart ...

$48K - $55K/yr

Fish/Game/Wildlife, Scientific/Technical Support GAME AND FISH DEPARTMENT Join the only state ... From fishing, boating and off-highway vehicle use to shooting sports, hunting and wildlife watching ...

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Data Science Sports information

See Minnesota salary details

$21.9K

$103.5K

$198.2K

How much do data science sports jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science sports in Minnesota is $103,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,637.00 and $149,629.00 per year, depending on experience, location, and employer.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in athletic training, game tactics, and talent scouting.

What skills and qualifications are needed for a Data Science Sports position?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

What is a Data Science Sports?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What does a Data Science Sports professional do?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often work with advanced analytics, machine learning, and data visualization tools to improve team performance and business decisions.
What are the most commonly searched types of Data Science Sports jobs in Minnesota? The most popular types of Data Science Sports jobs in Minnesota are:
What are popular job titles related to Data Science Sports jobs in Minnesota? For Data Science Sports jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Science Sports jobs in Minnesota look for? The top searched job categories for Data Science Sports jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science Sports jobs? Cities in Minnesota with the most Data Science Sports job openings:
Infographic showing various Data Science Sports job openings in Minnesota as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 75% In-person, 15% Hybrid, and 10% Remote job distribution, with an average salary of $103,491 per year, or $49.8 per hour.

Sr Data Analyst - Crecera Brands

Windquest

Minneapolis, MN • On-site

$75K - $110K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Sr. Data Analyst 

             Job Description 

 

ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsman’s Guide, Salt Strong, The Golfer’s World, Play Baseball and Play Softball, five of America’s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.


Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.


Key Responsibilities

• Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy

• Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems

• Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights

• Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership

• Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices


Required Qualifications
• Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
• Bachelor’s degree in data analytics, statistics, computer science, economics, data science, or related field
• 4+ years of experience in data analytics or a related role
• Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
• Strong experience working with data warehouses and large datasets
• Solid understanding of statistics, data modeling, and analytical methods
• Proven ability to communicate insights to business stakeholders
Preferred Qualifications
• Experience with modern data stacks (i.e. Snowflake etc.)
• Experience with Adobe Analytics or Google Analytics
• Exposure to A/B testing, machine learning, or predictive modeling
• Experience in a DTC e-commerce environment
• Experience mentoring or leading projects
Key Competencies
• Analytical problem-solving
• Business acumen
• Data storytelling & visualization
• Attention to detail
• Collaboration and influence

Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications