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Remote Nhl Data Analytics Jobs (NOW HIRING)

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

This is a remote position. Overview : The Portfolio Lead - Data & Analytics is responsible for driving strategic data engagements across key enterprise accounts . This role blends a consulting ...

Senior Data & Analytics Architect

$68.75 - $92/hr

Senior Data & Analytics Architect Hybrid (Bogotá, São Paulo, or Ciudad de México) • Full-time ... This role is 100% remote, and you will be integrated directly into PayJoy's engineering team ...

Senior Data & Analytics Architect

$68.75 - $92/hr

Senior Data & Analytics Architect Hybrid (Bogota, Sao Paulo, or Ciudad de Mexico) Full-time Data ... This role is 100% remote, and you will be integrated directly into PayJoy's engineering team ...

The mission of the Senior Director, Data & Analytics is to build the data foundation and analytical ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

... enterprise data strategy, architecture, governance, and analytics-enabling IJM to operate with ... This position is hybrid (onsite Tuesdays & Thursdays) iflocatedin the Washington, DC area or remote ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Showing results 41-60

Remote Nhl Data Analytics information

What is a remote NHL data analytics job?

Remote NHL Data Analytics jobs involve analyzing hockey-related data for the National Hockey League (NHL) while working from a remote location. Professionals in this field collect, organize, and interpret large datasets to provide insights into player performance, team strategies, and game outcomes. The work may include statistical modeling, data visualization, and the use of specialized software to help teams, media, or betting companies make informed decisions. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of hockey. Remote roles allow for flexibility in location while still collaborating with teams and organizations virtually.

What are the key skills and qualifications needed to thrive as a remote NHL data analyst, and why are they important?

To thrive as a Remote NHL Data Analyst, you need a strong foundation in statistics, data analysis, and hockey knowledge, typically supported by a degree in data science, statistics, or a related field. Familiarity with analytics tools like Python, R, SQL, and visualization platforms such as Tableau or Power BI is essential, along with experience using sports data sources and APIs. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with remote teams and conveying insights to stakeholders. These skills and qualities are important for producing accurate, actionable insights that drive team strategy and performance improvements in a fast-paced, competitive sports environment.

What are some common challenges faced by professionals in a remote NHL data analytics role, and how can they be addressed?

A common challenge in remote NHL Data Analytics is ensuring seamless collaboration with coaches, scouts, and other analysts despite being physically distant from the team. Clear communication and regular virtual meetings are essential to align on objectives and share insights. Another challenge is managing and accessing large, proprietary datasets securely from remote locations, which requires strong data management practices and familiarity with secure cloud platforms. Staying updated on the latest hockey analytics trends and tools is also important for delivering actionable insights to the team.

What is the difference between Remote Nhl Data Analytics vs Remote Sports Data Analyst?

AspectRemote Nhl Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Statistics, or Sports ManagementDegree in Data Science, Statistics, or Sports Management
Work EnvironmentRemote, sports analytics companies, NHL teamsRemote, sports organizations, analytics firms
Industry UsagePrimarily NHL, hockey-focused analyticsVarious sports including hockey, football, basketball
Job FocusHockey-specific data analysis, player performance, game strategiesMultiple sports data analysis, performance metrics, trend forecasting

Remote Nhl Data Analytics specializes in hockey-specific data analysis within the NHL industry, focusing on player performance and game strategies. In contrast, Remote Sports Data Analyst roles cover multiple sports, analyzing broader performance metrics across various leagues. Both roles require similar credentials and often share work environments, but their industry focus and data scope differ significantly.

More about Remote Nhl Data Analytics jobs

What cities are hiring for Remote Nhl Data Analytics jobs?

Cities with the most Remote 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 Remote Nhl Data Analytics jobs?

States with the most job openings for Remote Nhl Data Analytics jobs include:

Infographic showing various Remote Nhl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 11% Part Time, and 14% Contract. Highlights an 3% In-person, and 97% Remote job distribution.

Project Manager - Data Analytics Lead

Artemis Arc

Remote

Other

Re-posted 27 days ago


Job description

Requisition ID
2026-4325
Job Summary
Aptive/Artemis seeks a Data Analytics Lead responsible for leading data analysis, reporting, and performance evaluation activities in support of large-scale federal transition assistance programs serving transitioning Service members, Veterans, and their families. This position oversees the collection, management, interpretation, and presentation of program data to support operational effectiveness, strategic planning, and continuous program improvement. The Data Analytics Lead works closely with Government leadership, operational teams, and stakeholders to develop actionable insights, performance metrics, dashboards, and analytical products that support data-driven decision-making and modernization initiatives across the program.
Primary Responsibilities
The Data Analytics Lead manages the development and implementation of performance analysis frameworks, conducts program evaluations, and identifies trends, gaps, and emerging issues impacting transition assistance services. This role is responsible for coordinating data integration from multiple government and partner sources, conducting quantitative and qualitative analyses, and preparing executive-level reports, briefings, and recommendations. The position also supports strategic action planning by delivering analytics that measure program outcomes, operational performance, customer engagement, and service effectiveness. The Data Analytics Lead collaborates with program managers and technical teams to ensure timely, accurate, and compliant reporting while supporting continuous improvement initiatives and modernization efforts.
The ideal candidate possesses extensive experience in data analytics, program evaluation, and project management within the Federal Government or Department of Defense environment. Candidates should demonstrate expertise in data modeling, statistical analysis, performance measurement, dashboard development, and executive reporting. Strong analytical, communication, leadership, and problem-solving skills are essential, as well as the ability to translate complex data into actionable recommendations that support organizational goals and mission success.
This is a contingent hire position.
This position is remote. However, travel for occasional in-person meetings will be required.
Minimum Qualifications
  • 10 years of relevant experience, including 5 within the federal government.
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field.
  • Proven experience in the management of government program data collection, modeling, analyses, and product generation.
  • Experience in preparing executive level reports, briefings, and documentation deliverables.
  • Comfortability with supporting complex client relationships.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the U.S.