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Remote Hockey Analytics Jobs (NOW HIRING)

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

Replay Manager

Kansas City, MO ยท 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 ...

New

at DVSport | Los Angeles/Southern California / Remote Ever wonder what officials watch so they can ... Sport specific opportunities - football, basketball, baseball, field hockey, ice hockey, soccer ...

New

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 ...

New

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 ...

New

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 ...

New

$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 ...

Software Engineer L3

Annapolis Junction, MD ยท Remote

$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 games and more We ...

$175K - $225K/yr

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

$150K - $175K/yr

The HPC systems might include, but are not limited to, processing-intensive analytics, novel ... Company-paid events, including golf events, fishing trips, baseball games,hockey gamesand more We ...

HPC Software Engineer L3

Annapolis, MD ยท Remote

$150K - $175K/yr

The HPC systems might include, but are not limited to, processing-intensive analytics, novel ... Company-paid events, including golf events, fishing trips, baseball games, hockey games and more We ...

Systems Engineer L5

Annapolis Junction, MD ยท Remote

$175K - $225K/yr

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

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Remote Hockey Analytics information

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$10

$52

$79

How much do remote hockey analytics jobs pay per hour?

As of Jun 11, 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:
Infographic showing various Remote Hockey Analytics job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 16 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote