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Remote Nhl Data Analytics Jobs (NOW HIRING)

Manager, Ops Data Analytics and Reporting Remote | Full-Time | Exempt Role Summary: The Manager, Ops Data Analytics and Reporting develops, implements, and oversees data analysis, visualizations ...

Manager, Ops Data Analytics and Reporting Remote | Full-Time | Exempt Role Summary: The Manager, Ops Data Analytics and Reporting develops, implements, and oversees data analysis, visualizations ...

Blockchain, Data Analytics (Remote)

New York, NY ยท 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 ...

Blockchain, Data Analytics (Remote)

New York, NY ยท 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 ...

This remote position is open to individuals who live in, or are open to relocating to, the ... Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling ...

This remote position is open to individuals who live in, or are open to relocating to, the ... Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling ...

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Remote Nhl Data Analytics information

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.

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.
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 June 2026, with employment types broken down into 68% Full Time, 5% Temporary, and 27% Contract. Highlights an 100% Remote job distribution.
Program Director, Data & Analytics

Program Director, Data & Analytics

Prologis

New York, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Job Title:

Program Director, Data & Analytics

Company:

Prologis

A day in the life

As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster decisions.

AI will be foundational to how you operate, as you identify opportunities to apply automation and agent-based workflows to improve efficiency and accelerate insight generation. You will also drive strong execution by aligning priorities, managing capacity, guiding teams toward shared outcomes, and maintaining momentum as priorities evolve.

You will oversee budgets and investments to support the highest-impact work, while shaping how the business experiences data through intuitive, scalable, self-service analytics. In close partnership with leaders, stakeholders, and external partners, you will help evolve the operating model so the organization can scale and deliver increasing value over time.

Key responsibilities include:

  • 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

Building blocks for success

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 incorporating AI, automation, or agent-based workflows into analytics or operations
  • 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 toleverageemerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range of: $153,000 - $211,000. Salary and whole compensation package (bonus target & LTI (Long Term Incentives) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

Atlanta, Georgia, Cerritos, California, Dallas, Texas, East Rutherford, New Jersey, Las Vegas, Nevada, Los Angeles, California, Nashville, Tennessee, New York, New York, San Francisco, California

Prologis logo

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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