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Mlb Analytics Jobs in Minnesota (NOW HIRING)

Lids

Assistant Store Manager FT

Eagan, MN

... conducting analytics, and ensuring compliance with applicable legal requirements and Company ... numerous MLB teams. In recent years, Lids has built partnerships with iconic global brands ...

Lids

Assistant Store Manager FT

Duluth, MN · On-site

... conducting analytics, and ensuring compliance with applicable legal requirements and Company ... numerous MLB teams. In recent years, Lids has built partnerships with iconic global brands ...

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See Minnesota salary details

$59.3K

$121.3K

$171.4K

How much do mlb analytics jobs pay per year?

As of Aug 28, 2026, the average yearly pay for mlb analytics in Minnesota is $121,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $150,300.00 per year, depending on experience, location, and employer.

What is an MLB Analytics?

An MLB Analytics job involves analyzing baseball data to help teams make informed decisions about player performance, strategy, and roster construction. Analysts use statistical models, data visualization, and machine learning to evaluate player tendencies, optimize lineups, and assess in-game strategies. These roles often require proficiency in programming languages like Python or R, as well as experience with databases and advanced statistical methods.

What does an MLB Analytics do?

Professionals in MLB Analytics are responsible for collecting, cleaning, and analyzing large sets of baseball performance data to provide actionable insights for coaching staff, players, and management. Their daily work often involves developing predictive models, preparing visualizations and reports, and collaborating with other departments like scouting, sports medicine, and player development. They frequently attend meetings with coaches, weigh in on player acquisitions or game strategies, and may be tasked with presenting findings to non-technical audiences. The role is highly collaborative and dynamic, requiring both technical expertise and a deep understanding of the game.

What are the key skills and qualifications needed to thrive in MLB Analytics?

To thrive in MLB Analytics, you need a strong background in statistics, data science, and baseball analytics, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, advanced proficiency with data visualization tools, and experience using statistical modeling software are typically required. Strong communication, critical thinking, and teamwork skills help translate complex data insights into actionable recommendations for coaches and front office staff. These skills are crucial to drive informed decision-making and gain a competitive edge in the dynamic environment of Major League Baseball.

What are popular job titles related to Mlb Analytics jobs in Minnesota?

For Mlb Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Mlb Analytics jobs in Minnesota look for?

The top searched job categories for Mlb Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Mlb Analytics jobs?

Cities in Minnesota with the most Mlb Analytics job openings:

Mlb Analytics jobs near you
Infographic showing various Mlb Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 2% Part Time, and 6% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $121,299 per year, or $58.3 per hour.

Engineering Manager, Sports Media

Sportradar AG

Minneapolis, MN • On-site

$150 - $190/hr

Other

Posted 10 days ago

Job 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:

  • 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.
Location

420 5th Street Minneapolis, MN55401, Minneapolis, United States of America

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