ZipRecruiter

Log In

1

Nhl Data Analytics Jobs in Washington (NOW HIRING)

Compass Group

Executive Chef

Washington, DC · On-site

$80K - $111K/yr

Overseeing menu design and updates in line with food trends and internal data, cost of goods, and ... Ensuring calorific analysis is carried out on all menu items in line with FDA guidelines

Compass Group

Executive Chef

Washington, DC

$81K - $111K/yr

Overseeing menu design and updates in line with food trends and internal data, cost of goods, and ... Ensuring calorific analysis is carried out on all menu items in line with FDA guidelines

Compass Group

Executive Chef

Washington, DC

$80K - $111K/yr

Overseeing menu design and updates in line with food trends and internal data, cost of goods, and ... Ensuring calorific analysis is carried out on all menu items in line with FDA guidelines

All JobsNhl Data Analytics JobsNhl Data Analytics Jobs in Washington

Nhl Data Analytics information

See Washington salary details

$23.6K

$107.1K

$194.9K

How much do nhl data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for nhl data analytics in Washington is $107,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,198.00 and $142,797.00 per year, depending on experience, location, and employer.

What is an NHL Data Analytics?

An NHL Data Analytics job involves analyzing hockey-related data to provide insights that help teams, coaches, and executives make better decisions. Analysts work with player statistics, game performance metrics, and advanced hockey analytics to identify trends and strategies. They use programming, data visualization, and statistical modeling to interpret data and communicate findings effectively. The role can support player scouting, game strategy, or business operations within an NHL organization.

What does an NHL Data Analytics do?

A typical day in NHL Data Analytics involves collecting and cleaning large amounts of game, player, and performance data, running statistical analyses, and generating reports or visualizations for coaches and management. Analysts often collaborate closely with coaching staff, scouts, and other front-office personnel to interpret data insights and answer specific performance questions. The work includes monitoring ongoing games, updating predictive models, and staying current with advances in sports analytics techniques. This role can be fast-paced and dynamic, reflecting the evolving needs of both the analytics department and the on-ice product.

What are the key skills and qualifications needed to thrive in NHL Data Analytics?

To thrive in NHL Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by relevant degrees or certifications. Experience with tools such as Python, R, SQL, and advanced data visualization platforms like Tableau or Power BI is highly desirable. Excellent communication, teamwork, and problem-solving abilities help analysts convey complex findings to both technical and non-technical stakeholders. These competencies are essential to drive data-driven decision making and provide actionable insights that can impact team performance and strategy.

What are the most commonly searched types of Nhl Data Analytics jobs in Washington?

The most popular types of Nhl Data Analytics jobs in Washington are:

What are popular job titles related to Nhl Data Analytics jobs in Washington?

For Nhl Data Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Nhl Data Analytics jobs in Washington look for?

The top searched job categories for Nhl Data Analytics jobs in Washington are:

What cities in Washington are hiring for Nhl Data Analytics jobs?

Cities in Washington with the most Nhl Data Analytics job openings:

Nhl Data Analytics jobs near you
Infographic showing various Nhl Data Analytics job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 69% In-person, and 31% Remote job distribution, with an average salary of $107,088 per year, or $51.5 per hour.

Senior Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC • On-site

$150K - $190K/yr

Full-time

Posted 17 days ago

Job description

Monumental Sports & Entertainment (MSE) is one of the leading integrated sports and entertainment companies globally. MSE's portfolio spans premier professional sports teams, world-class venues, and next-generation media properties, with marquee assets including the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League's Capital City Go-Go, Capital One Arena, and Monumental Sports Network, along with an investment in Team Liquid.
Rooted in the nation's capital, MSE brings Washington, D.C's distinct influence, ambition, and leadership to the global sports and entertainment landscape. The company harnesses the power of its platform to drive continuous innovation and deliver extraordinary experiences that inspire and unite our community, our fans, and our people.
Our success is powered by talented people who bring passion, creativity, and collaboration to everything they do. If you're looking to build your career in a dynamic, fast-paced organization that's shaping the future of sports and entertainment, we'd love to hear from you.
Position Overview:
The Senior Data Engineer is responsible for architecting, building, and maintaining data infrastructure in a greenfield stack. This position will design and architect data infrastructure to handle large datasets with varying data including basketball statistical data from the NBA and other leagues, video data, body pose tracking data, basketball qualitative data (e.g. scouting reports), and health and performance data. These datasets will be used by research analysts and data scientists to perform basketball data analysis, as well as by software developers for web and mobile applications.
Do you have a passion for sports!? Are you a creative problem-solver who enjoys building and optimizing data solutions? We'd love to hear from you!
Responsibilities:
  • Architect the data engineering infrastructure to be performant, reliable, and scalable.
  • Lead data engineering efforts, including making decisions on technologies, providers, database design, partitioning and indexing strategies, and software patterns.
  • Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
  • Optimize pipelines and data storage to handle large datasets.
  • Build thorough data validation procedures to ensure data is of the highest quality.
  • Implement medallion architectures to organize our data structure and provide data lineage.
  • Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
  • Maintain knowledge of emerging technologies like generative AI and make decisions on how to use them.
  • Other duties as assigned.
Minimum Qualifications:
  • 5+ years of professional software development experience.
  • Strong proficiency with a variety of transactional (OLTP) and analytical (OLAP) databases.
  • Sophisticated knowledge of Python and SQL.
  • Experience with data engineering frameworks such as Prefect, DBT, etc.
  • Experience with open-source backend frameworks such as Rails, Django, Next.js, etc.
  • Diverse set of infrastructure experience with both PaaS and IaaS platforms and the ability to dynamically recommend infrastructure stacks and manage associated budgets.
  • Experience with Docker.
  • Experience working with large datasets.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • High integrity; dependable and comfortable with confidential information.
  • Ability to work effectively with peers.
  • Experience with AWS, GCP, Microsoft Azure, or another cloud service.
  • Familiarity with agile development frameworks.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $150k - $190k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Apply