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Sports Data Analyst Jobs in Minnesota (NOW HIRING)

Pharmacy Analyst III

Minnetonka, MN · On-site

$78K - $134K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... team sport. It's our mission to be there in the moments that matter most for our members and ...

Pharmacy Analyst III

Minnetonka, MN · On-site

$78K - $134K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... team sport. It's our mission to be there in the moments that matter most for our members and ...

This role will be embedded with the Sports desk and serve as the lead strategist for audience ... Ability to analyze performance data and translate it into clear, actionable newsroom insights that ...

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... team sport. It's our mission to be there in the moments that matter most for our members and ...

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... team sport. It's our mission to be there in the moments that matter most for our members and ...

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... team sport. It's our mission to be there in the moments that matter most for our members and ...

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Showing results 1-20

Sports Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do sports data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for sports data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

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.

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

How much do sports data analysts get paid?

Sports data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working for major organizations can earn over $100,000 per year.

What are the most commonly searched types of Sports Data Analyst jobs in Minnesota?

The most popular types of Sports Data Analyst jobs in Minnesota are:

What are popular job titles related to Sports Data Analyst jobs in Minnesota?

For Sports Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Sports Data Analyst jobs?

Cities in Minnesota with the most Sports Data Analyst job openings:

Infographic showing various Sports Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Engineering Manager, Sports Media

Sportradar

Minneapolis, MN

Full-time

Retirement

Posted 22 days ago


Job description

Company Description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

ABOUT US:
The Sports Media Team at Sportradar builds platforms and products that collect, curate, distribute, analyze, and personalize sports data and content. We hold exclusive data rights with top leagues including MLB, NBA, NHL, and NASCAR and deliver the fastest and most accurate live game data on the market.
Our APIs power products from Apple, Google, Amazon, and thousands of other customers globally. Our Analytics Products and Broadcast Solutions are behind the stats and storylines seen by millions of fans watching the World Series, Super Bowl, and every game in between.
We are seeking an Engineering Manager to lead a team of talented engineers building enterprise-grade, high-uptime sports analytics and broadcast tooling. This role balances people leadership and deep technical engagement. You will manage and grow your team while remaining hands-on enough to shape architecture, guide technical decisions, and maintain the high standards of data accuracy and software quality that our enterprise customers depend on.

THE CHALLENGE:

People Leadership & Team Development:

  • Manage a team of software engineers, providing consistent 1:1s, team retros, clear performance feedback, and genuine investment in each engineer's career growth.
  • Set clear expectations, document goals, and conduct performance reviews; connect individual career aspirations with team and product backlogs.
  • Mentor engineers at all levels, helping them grow both technically and professionally.
  • Foster a strong engineering culture built on collaboration, ownership, and continuous improvement.
  • Empower engineers to be creative problem-solvers while maintaining high standards of quality, reliability, and uptime.

Technical Leadership & Architecture:

  • Provide hands-on architectural direction across the team's systems, facilitating key decisions around system design, data modeling, and service boundaries.
  • Drive the reduction of technical debt by identifying systemic risks, prioritizing remediation efforts, and balancing those efforts with feature development.
  • Participate meaningfully in design reviews, merge request reviews, and technical discussions.
  • Advocate for engineering best practices including reliability, observability, security, performance, agentic development, and maintainability at scale.
  • Ensure systems meet the uptime and data accuracy standards expected by enterprise customers.
  • Lead post-mortems and drive incident follow-through.
  • Leverage agentic development tools to increase engineering velocity while maintaining high standards of quality, readability, and architectural consistency.
  • Product Collaboration & Delivery Partner closely with Product teams to translate business goals into well-scoped and well-sequenced engineering initiatives.
  • Organize and maintain delivery swim lanes that provide engineers with clear priorities and focused work.
  • Own team-level delivery commitments, forecast accurately, communicate risks early, and consistently deliver high-quality software.
  • Balance feature development, platform investment, and technical debt while making trade-offs transparent and defensible.
  • Participate in cross-functional planning with Product, Design, DevOps, and Architecture teams to ensure alignment and clear ownership boundaries.
Qualifications

ABOUT YOU:

You are a people-first engineering leader who enjoys building high-performing teams while remaining technically engaged. You thrive in fast-paced environments, care deeply about software quality and reliability, and are comfortable balancing long-term engineering investments with day-to-day delivery needs.

Required:

Engineering Management:

  • 3+ years of engineering management experience, including direct line management of software engineers.
  • Proven track record of growing engineers through coaching, performance management, and career development.
  • Experience partnering with Product Managers to manage backlogs, facilitate sprint planning, and deliver commitments in an Agile environment.
  • Comfortable navigating performance discussions directly and constructively.

Technical Depth:

  • 6+ years of professional software engineering experience, with sufficient hands-on depth to engage credibly on architecture and code quality.
  • Experience designing and operating data-driven, high-uptime production systems, including microservices, RESTful APIs, and event-driven architectures.
  • Proficiency with SQL and NoSQL databases.
  • Experience working with high-throughput, low-latency production systems. Strong understanding of CI/CD practices, software development workflows, and AWS cloud infrastructure.

Nice to Have Experience:

  • Working with sports data or real-time data products.
  • Experience in enterprise SaaS environments. Understanding of uptime, data accuracy, and SLA commitments in customer-facing products.
  • Experience with serverless technologies, including AWS Lambda, SQS, and Step Functions.

Additional Information

OUR OFFER:

  • The opportunity to lead and develop a team building products used by some of the world's most recognized sports, media, and technology organizations.
  • A highly collaborative and international environment with colleagues across multiple regions and disciplines. Ownership and influence over both technical strategy and team development.
  • Exposure to large-scale, real-time sports data systems powering products used by millions of fans worldwide.
  • The opportunity to work within one of the fastest-growing sports technology companies in the world.
  • A culture built on innovation, teamwork, continuous learning, and high performance.
  • Career growth opportunities within a global organization operating at the intersection of sports, media, and technology.

OUR RECRUITMENT PROCESS:

  • Initial Screening: A conversation with our Talent Acquisition team to learn more about your background and career aspirations.
  • Hiring Manager Interview: An opportunity to discuss the role, team, and leadership expectations in more detail.
  • Technical and Leadership Interviews: Meet key stakeholders and engineering leaders to explore your technical expertise, leadership approach, and collaboration style.
  • Final Discussions: Review mutual expectations and next steps. We aim to keep the process straightforward, transparent, and efficient while ensuring both you and the team have the opportunity to assess long-term fit.

Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!