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Remote Hockey Analytics Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis

DVSport

Replay Manager

Kansas City, MO · Remote

$45K - $55K/yr

at DVSport | Kansas City / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

DVSport

Replay Technical Support Specialist

Charlotte, NC · Remote

$45K - $55K/yr

at DVSport | Charlotte / NC / Remote Ever wonder what officials watch so they can efficiently ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

DVSport

Replay Technical Support Specialist

Las Vegas, NV · Remote

$45K - $55K/yr

at DVSport | Las Vegas / Remote Ever wonder what officials watch so they can efficiently confirm or ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

DVSport

Replay Technical Support Specialist

Denver, CO · Remote

$45K - $65K/yr

at DVSport | Denver, CO / Remote Ever wonder what officials watch so they can efficiently confirm ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

Power3 Solutions

$200K - $250K/yr

... analytics, novel algorithm development, manipulation of extremely large data sets, real-time ... Company-paid events, including golf events, fishing trips, baseball games,hockey gamesand more We ...

Power3 Solutions

$150K - $200K/yr

Technical Process Area - Stakeholder Requirements Definition, Requirements Analysis, Architectural ... Company-paid events, including golf events, fishing trips, baseball games,hockey gamesand more We ...

All JobsRemote Hockey Analytics Jobs

Remote Hockey Analytics information

See salary details

$10

$52

$79

How much do remote hockey analytics jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote 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 the difference between Remote Hockey Analytics vs Remote Sports Data Analyst?

AspectRemote Hockey AnalyticsRemote Sports Data Analyst
Required CredentialsDegree in Sports Analytics, Statistics, or related field; knowledge of hockey metricsDegree in Sports Analytics, Statistics, or related field; broad sports knowledge
Work EnvironmentRemote, focused on hockey data and teamsRemote, covering multiple sports or leagues
Employer & Industry UsageHockey teams, leagues, sports analytics firmsSports organizations, media outlets, analytics firms
Search & Comparison IntentSpecific to hockey data analysis rolesBroader sports data analysis roles

Remote Hockey Analytics focuses specifically on analyzing hockey data, metrics, and team performance, often requiring specialized knowledge of hockey statistics. In contrast, Remote Sports Data Analyst roles encompass a wider range of sports, requiring broader sports analytics skills. Both roles share similar credentials and work environments but differ in their industry focus and scope.

How does a remote hockey analytics professional typically collaborate with coaches and team staff?

Remote hockey analytics professionals often work closely with coaches and team staff through regular virtual meetings, data dashboards, and detailed reports. They translate complex data into actionable insights, such as player performance trends and opponent analysis, to inform strategy. Effective communication and presentation skills are crucial, as the analytics professional must ensure their findings are accessible to non-technical team members. Building strong remote relationships and being responsive to feedback are key to successful collaboration in this role.

What is remote hockey analytics?

Remote hockey analytics involves analyzing hockey data, statistics, and game footage from a location outside the physical arena or team facilities. Professionals in this field use specialized software and data sets to evaluate player performance, team strategies, and game trends, all while working remotely. This allows teams and organizations to access expert insights without geographic limitations, making it ideal for analysts who wish to work from home or anywhere in the world. The work often includes creating reports, visualizations, and predictive models to support coaching and management decisions.

What are the key skills and qualifications needed to thrive as a Remote Hockey Analyst, and why are they important?

To thrive as a Remote Hockey Analyst, you need a strong background in statistics, data analysis, and a deep understanding of hockey strategy, usually supported by a degree in statistics, sports management, or a related field. Familiarity with analytics tools such as R, Python, Tableau, and hockey-specific tracking software is commonly required. Strong attention to detail, critical thinking, and communication skills help analysts interpret data insights and present findings effectively to coaches or management. These abilities are crucial for providing actionable insights that drive team performance and strategic decisions in a competitive sports environment.
More about Remote Hockey Analytics jobs
What cities are hiring for Remote Hockey Analytics jobs? Cities with the most Remote 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 Remote Hockey Analytics jobs? States with the most job openings for Remote Hockey Analytics jobs include:
What job categories do people searching Remote Hockey Analytics jobs look for? The top searched job categories for Remote Hockey Analytics jobs are:
Remote Hockey Analytics jobs near you
Infographic showing various Remote Hockey Analytics job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Data Scientist with Colorado Avalanche- Contract

Data Scientist with Colorado Avalanche- Contract

Kroenke Sports & Entertainment

Denver, CO • On-site, Remote

$70K - $85K/yr

Full-time

Posted 23 hours ago

Job description

Job Title: Data Scientist with Colorado Avalanche
Department: Colorado Avalanche, Hockey Ops
Location: Denver, Colorado is preferred, but could be remote (with Occasional Travel)
Reports to: Data Scientist
Employment Type: Full Time- Employment Contract- Salary
Supervisor Position: No
Posting End Date: 7/20/2026
________________________________________________________________________
Position Overview:
The Colorado Avalanche are looking to hire a full-time data scientist to work within the team’s Hockey Operations Department. This person will use their knowledge of statistical best practices and modeling techniques to analyze large datasets and present takeaways in fields such as: player and team evaluation, in-game tactics, and roster building. They will have the opportunity to work with advanced event, tracking level, and biometric datasets and will work closely with various members of the hockey operations department.
Location:
Denver, Colorado is preferred, but could be remote (with occasional travel)
Responsibilities:
  • Research, develop, and test predictive models for player evaluation and projection at all levels
  • Work with large datasets to answer questions for decision-makers including coaches and management
  • Create data visualizations, reports, profiles, and presentations that communicate methodology and key findings to audiences with a range of technical competencies
  • Collaborate with our team of analytics and hockey operations personnel to best complete projects and support our management group
  • Respond to analytics or hockey operations personnel questions and project requests in a timely fashion including at times on evenings and weekends
Required Qualifications:
  • Ability to think probabilistically and comfort dealing with uncertainty
  • Expertise in one or multiple coding language, preferably R and Python
  • Experience building predictive models of various types from large, complex datasets
  • Strong verbal and written communication skills
Preferred Qualifications:
  • 1-3 years of work experience in a data analysis and/or modeling-related position
  • An advanced degree in computer science, applied mathematics, predictive analytics, statistics, or a related field
  • Expertise in AI, machine learning, and building models with spatio-temporal data
  • A comfort level working with SQL and relational databases in a cloud computing environment, preferably Azure or AWS
  • Experience building dashboards, web applications, and interactive data visualizations, which can include working in Shiny or Power BI
  • Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics
Compensation:
  • Salary Range: $70k-$85k, Contract Employee
Applications must be received by: 07/20/2026
Equal Employment Opportunity
Kroenke Sports amp; Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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