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Hockey Analytics Jobs (NOW HIRING)

Sr. Software Engineer

Tampa, FL

$115K - $152K/yr

Software Engineer within the DevOps team will lead the design, implementation, and evolution of cloud-native infrastructure and automated systems that power our hockey analytics platform and data ...

Sr. Software Engineer

Tampa, FL · On-site

$115K - $152K/yr

This position offers the opportunity to drive innovation and have a direct impact on both the organization and the hockey analytics team. Essential Duties & Responsibilities * Lead the design ...

Youth Hockey Coach

Denver, CO · On-site

$20 - $24/hr

Youth Hockey Coach Job no: 498633 Work type: Staff Part-Time Location: Denver, CO Categories ... Develop and execute game strategies based on opponent analysis. * Make in-game adjustments and ...

Youth Hockey Coach Apply now Job no: 498633 Work type: Staff Part-Time Location: Denver, CO ... Develop and execute game strategies based on opponent analysis. * Make in-game adjustments and ...

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Hockey Analytics information

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$52

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How much do hockey analytics jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for hockey analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What is a Hockey Analytics job?

A Hockey Analytics job involves analyzing data to evaluate player performance, team strategies, and game outcomes. Analysts use statistics, machine learning, and advanced metrics to provide insights that help coaches, managers, and scouts make informed decisions. Responsibilities may include data collection, visualization, predictive modeling, and communicating findings to hockey professionals. These roles exist in teams, media, and third-party analytics firms to enhance decision-making and competitive advantage.

What are the key skills and qualifications needed to thrive in the Hockey Analytics position, and why are they important?

To thrive in Hockey Analytics, you need strong statistical analysis, data interpretation, and knowledge of hockey strategy, typically supported by a background in mathematics, statistics, data science, or sports management. Proficiency with tools like R, Python, Tableau, SQL, and video analysis software is highly valued, and some roles may require certifications in data analytics or sports analytics. Excellent communication, critical thinking, and teamwork are important soft skills for conveying findings to coaches and collaborating across departments. These skills and qualities are crucial for transforming data into actionable insights that inform player development, strategy, and organizational decision-making.

What are some of the typical day-to-day tasks for someone working in Hockey Analytics?

A typical day in Hockey Analytics involves collecting and cleaning data from games, developing and updating statistical models, and preparing reports or visualizations for coaching staff and management. You may track both team and individual player performance metrics, analyze opponent tendencies, and contribute to scouting or draft preparations. Collaboration with coaches, scouts, and video analysts is common, as your insights often feed directly into game preparation and player development strategies. The role is a mix of independent data work and group meetings to interpret results and discuss their application to the team’s overall goals.

More about Hockey Analytics jobs
What cities are hiring for Hockey Analytics jobs? Cities with the most Hockey Analytics job openings:
What are the most commonly searched types of Hockey Analytics jobs? The most popular types of Hockey Analytics jobs are:
What states have the most Hockey Analytics jobs? States with the most job openings for Hockey Analytics jobs include:
Infographic showing various Hockey Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Senior Data Scientist, Hockey Operations

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

Full-time

Posted 11 days ago


Job description

Organization Overview:
The Florida Panthers enter their 33rd season in 2026-27 as one of the National Hockey League's premier franchises. As back-to-back Stanley Cup champions in 2024 and 2025, the Cats have emerged victorious in 11 of their past 12 postseason series and have captured four Eastern Conference championships. The Panthers are led by President of Hockey Operations & General Manager Bill Zito entering his seventh season, and President of Business Operations Michael White who begins his first full season.
As the NHL's southernmost team, the Panthers operate four facilities in Broward County, Florida: Amerant Bank Arena in Sunrise; the Panthers IceDen in Coral Springs; the state-of-the-art Baptist Health IcePlex in Fort Lauderdale; and the renovated War Memorial Auditorium, which hosts concerts and events for the South Florida faithful year-round.
An organization with deep roots in the community, the Panthers are owned by Vincent J. Viola, a graduate of the United States Military Academy at West Point and a veteran of the U.S. Army. Emphasizing a culture of selfless service both on and off the ice, the Panthers pillar program, "Heroes Among Us," honors a United States military veteran at every game. The Florida Panthers Foundation focuses on four core pillars: veterans' affairs; children's health and education; raising awareness for the endangered Florida Panther; and growing youth hockey throughout the region. The Panthers remain committed to empowering our fans to live sustainably and to strengthen the resiliency of our diverse communities throughout Florida and the tri-county area.
Senior Data Scientist, Hockey Operations
  • Organization: Florida Panthers Hockey Club
  • Department: Hockey Operations - Research & Development
  • Reports To: Director of Research and Development
  • FLSA Status: Exempt (Salaried)
  • Employment Type: Full-Time
  • Location: Baptist Health IcePlex, Fort Lauderdale, FL - On-Site
  • Schedule: Flexibility required for evenings, weekends, and holidays during key periods of the hockey calendar (Trade Deadline, Amateur Draft, Training Camp)
Job Summary
As a Senior Data Scientist, you will be a foundational member of the R&D team responsible for driving analytical initiatives related to Hockey Operations and its supporting departments. You will build and deploy models, metrics, and tools that inform Hockey Operations decision-making and help communicate those insights clearly to stakeholders at all levels.
This role requires strong analytical depth, proficiency across the modern hockey analytics stack, and the ability to translate complex findings into compelling, actionable outputs. You will report directly to the Director of Research and Development and play a meaningful role in shaping how the organization applies data to competitive decision-making.
Essential Duties & Responsibilities
  • Build, maintain, and enhance analytical tools, metrics, and models in support of Hockey Operations' initiatives and decision-making
  • Create data visualizations and reports that communicate key ideas, findings, and recommendations in an accessible and compelling way for both technical and non-technical audiences
  • Represent R&D in discussing new projects, priorities, and analytical deliverables with coaches, scouts, and Hockey Operations decision-makers
  • Contribute to the mentorship and professional development of junior analysts, providing feedback, code reviews, and guidance as needed
  • Collaborate with analysts and engineers to ensure production-ready data products are available to decision-makers in a timely manner
  • Continuously evolve the organization's analytical capabilities and practices to remain at the cutting edge of hockey analytics research
Qualifications
  • Bachelor's degree in a related technical field required; advanced degree preferred
  • Minimum of 3-5 years of professional experience in an analytical role, ideally within sports or a data-intensive industry
  • Prior experience working in hockey analytics, sports R&D, or with NHL-specific data sources preferred
  • Expertise in production-grade predictive modeling, machine learning, and statistical methods
  • Working knowledge of cloud computing, storage, and data warehousing platforms
  • Strong proficiency in SQL and Python for analytical modeling, data manipulation, and pipeline development
  • Knowledgeable in hockey analytics, NHL data sources, and the concepts that drive modern hockey evaluation; familiarity with multipoint skeletal tracking or spatiotemporal sports data is a plus
  • Strong communication skills - able to deliver findings clearly to Hockey Operations staff
  • Creative mindset, intellectual curiosity, and a desire to operate in a learning culture
Position Type / Expected Hours of Work
This is a full-time exempt (salaried) position. You will be on-site at our facility in Fort Lauderdale, Florida, working alongside Hockey Operations staff daily. Must be able to work evenings, weekends, and holidays during key periods of the hockey schedule.
At the Florida Panthers Hockey Club, Arena Operating Company, Panthers IceDen, Sanza Food Service, War Memorial Benefit Corporation, and FLA Team Shop, we strive to make every employee feel valued and respected for who they are and the unique contributions they make. We believe that a diverse and inclusive company is a more innovative and successful company, which is why we aim to infuse diversity, equity, and inclusion (DE&I) into all aspects of our culture and our business.
We welcome all to apply and join our team.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.