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Remote Nhl Data Analytics Jobs (NOW HIRING)

Prologis

Program Director, Data & Analytics

As the Program Director of Data & Analytics, you will connect strategy to execution across Data ... and remote teams • Strong change management mindset and comfort operating in evolving ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

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Remote Nhl Data Analytics information

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, game strategies, and team statistics. These analysts often use data visualization tools and statistical software to support decision-making and improve team outcomes.

What are Remote NHL Data Analytics jobs?

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 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.

How much do NHL data analysts make?

NHL data analysts typically earn between $50,000 and $80,000 annually, depending on experience, education, and the organization. Advanced skills in data analysis tools and sports statistics can lead to higher salaries in this specialized field.

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.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries, including sports analytics like NHL data analysis. These roles typically require skills in data visualization, statistical analysis, and tools such as Excel, SQL, or Python, and often offer flexible schedules. Many companies and organizations now hire remote data analysts, making it a feasible career option for qualified candidates.

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in statistics, data analysis, or related fields, often holding a bachelor's degree in mathematics, statistics, or sports management. Proficiency in data tools such as Excel, SQL, and programming languages like Python or R is essential, along with knowledge of hockey and sports analytics. Gaining experience through internships or projects related to sports data can improve job prospects in this specialized field.
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Remote Nhl Data Analytics jobs near you
Infographic showing various Remote Nhl Data Analytics job openings in the United States as of July 2026, with employment types broken down into 7% Internship, 79% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution.
Program Director, Data & Analytics

Program Director, Data & Analytics

Prologis

Remote

Full-time

Posted 7 days ago

Job description

Job Summary:
Prologis is a leading company in intelligent infrastructure that powers global commerce. As the Program Director of Data & Analytics, you will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring the delivery of trusted, scalable data products for smarter decision-making.
Responsibilities:
• Drive AI-first adoption across Data & Analytics, identifying and implementing opportunities for AI, automation, and agent-based workflows to transform analytics and team operations
• Run operating rhythms (planning, OKRs, delivery tracking, reporting) to drive alignment, accountability, and transparency across Data & Analytics, ensuring OKRs are clearly defined, aligned across teams, and tracked with measurable outcomes
• Monitor delivery health, proactively identify risks, bottlenecks, and dependencies, and drive continuous improvement in execution and team performance
• Coordinate resource allocation and prioritization across teams to balance demand, capacity, and strategic priorities, including managing trade-offs when demand exceeds capacity
• Own financial management across the function, including budgets and forecasts spanning multiple capabilities and cost centers, ensuring investments are aligned to strategic priorities and maximize ROI
• Manage vendor partnerships and external resources to ensure strong performance, accountability, and cost efficiency
• Lead the Data Visualization capability, defining its evolution in an AI-first world and ensuring delivery of trustworthy, scalable, self-service analytics aligned with AI-enabled insights, including oversight of tools such as Sigma, Tableau, and ESRI
• Promote data-driven decision-making and drive adoption of analytics through governance, communication, and change leadership
• Ensure analytics products and services are reliable, secure, well-documented, and supported through strong production support, issue resolution, and continuous enhancement practices
Qualifications:
Required:
• 10+ years of experience in Data, Analytics, or Technology roles
• 5+ years of leadership experience across cross-functional or delivery-focused organizations
• Proven experience driving AI, automation, or advanced analytics adoption within teams or organizations
• Proven experience managing planning cycles, OKRs, and delivery in complex environments
• Strong understanding of modern data and analytics ecosystems (e.g., SQL, BI tools, data platforms)
• Proven ownership of end-to-end financial management across multiple capabilities and cost centers, including budgeting, forecasting, investment prioritization, and cost optimization
• Proven experience managing external vendors, consulting partners, and geographically dispersed teams
• Demonstrated ability to operate across multiple teams and influence without direct authority
• Excellent communication and stakeholder management skills
Preferred:
• Experience incorporating AI, automation, or agent-based workflows into analytics or operations
• Experience working within Data & Analytics organizations (Data Engineering, Analytics Engineering, BI/Visualization)
• Familiarity with platforms such as Snowflake and enterprise BI tools
• Experience with product or pod-based delivery models, including working with globally distributed and remote teams
• Strong change management mindset and comfort operating in evolving environments
• Demonstrate willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
Company:
Prologis is an owner, operator, and developer of industrial real estate, logistics, and supply chain. Founded in 1983, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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