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Nhl Data Analytics Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Đánh Lô Đề

Senior Business Analyst

New York, NY

$101K - $130K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Support the development of data migration strategies, create data mapping documentation, and data ...

New

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/yr

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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All JobsNhl Data Analytics Jobs

Nhl Data Analytics information

See salary details

$22K

$99.7K

$181.5K

How much do nhl data analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for nhl data analytics in the United States is $99,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $133,000.00 per year, depending on experience, location, and employer.

What is an NHL Data Analytics job?

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 a typical day look like for someone working in NHL Data Analytics?

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 the Nhl Data Analytics position, and why are they important?

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.

More about Nhl Data Analytics jobs
What cities are hiring for Nhl Data Analytics jobs? Cities with the most Nhl Data Analytics job openings:
What are the most commonly searched types of Nhl Data Analytics jobs? The most popular types of Nhl Data Analytics jobs are:
What states have the most Nhl Data Analytics jobs? States with the most job openings for Nhl Data Analytics jobs include:
What job categories do people searching Nhl Data Analytics jobs look for? The top searched job categories for Nhl Data Analytics jobs are:
Nhl Data Analytics jobs near you
Infographic showing various Nhl Data 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 $99,740 per year, or $48 per hour.
Senior Data Scientist, Hockey Operations

Senior Data Scientist, Hockey Operations

The Florida Panthers

Fort Lauderdale, FL • On-site

Full-time

Posted 15 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.

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