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Nhl Data Analytics Jobs in Minnesota (NOW HIRING)

Nhl Data Analytics information

See Minnesota salary details

$21.4K

$96.9K

$176.3K

How much do nhl data analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for nhl data analytics in Minnesota is $96,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,382.00 and $129,225.00 per year, depending on experience, location, and employer.

What is an NHL Data Analytics?

An NHL Data Analytics job involves analyzing hockey-related data to provide insights that help teams, coaches, and executives make better decisions. Analysts work with player statistics, game performance metrics, and advanced hockey analytics to identify trends and strategies. They use programming, data visualization, and statistical modeling to interpret data and communicate findings effectively. The role can support player scouting, game strategy, or business operations within an NHL organization.

What does an NHL Data Analytics do?

A typical day in NHL Data Analytics involves collecting and cleaning large amounts of game, player, and performance data, running statistical analyses, and generating reports or visualizations for coaches and management. Analysts often collaborate closely with coaching staff, scouts, and other front-office personnel to interpret data insights and answer specific performance questions. The work includes monitoring ongoing games, updating predictive models, and staying current with advances in sports analytics techniques. This role can be fast-paced and dynamic, reflecting the evolving needs of both the analytics department and the on-ice product.

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

To thrive in NHL Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by relevant degrees or certifications. Experience with tools such as Python, R, SQL, and advanced data visualization platforms like Tableau or Power BI is highly desirable. Excellent communication, teamwork, and problem-solving abilities help analysts convey complex findings to both technical and non-technical stakeholders. These competencies are essential to drive data-driven decision making and provide actionable insights that can impact team performance and strategy.

What are the most commonly searched types of Nhl Data Analytics jobs in Minnesota?

The most popular types of Nhl Data Analytics jobs in Minnesota are:

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

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

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

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

What cities in Minnesota are hiring for Nhl Data Analytics jobs?

Cities in Minnesota with the most Nhl Data Analytics job openings:

Infographic showing various Nhl Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $96,910 per year, or $46.6 per hour.

Engineering Manager, Sports Media

Sportradar AG

Minneapolis, MN • On-site

$150 - $190/hr

Other

Posted 8 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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