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Nba Data Analyst Jobs in Washington (NOW HIRING)

Humana Inc

Lead UI/UX Full Stack Engineer

Ashburn, VA · On-site

$129 - $178/hr

Platform reliability - own uptime, performance, and resilience across NBA platform services ... member volume and data throughput grow * Handoff and quality gates - define and enforce the ...

New

Mediabarn

Email Content Specialist

Vienna, VA · On-site

... data delivery of marketing automation tool (PEGA) \n \n \n o Monitor and facilitate NBA, BNB ... analytics \n \n \n o Automation errors in SFMC \n \n \n o Journey Builder errors in SFMC \n \n \n o ...

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 · 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 · 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

All JobsNba Data Analyst JobsNba Data Analyst Jobs in Washington

Nba Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do nba data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for nba data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What is an NBA data analyst?

An NBA Data Analyst is responsible for collecting, analyzing, and interpreting basketball data to provide insights that help teams make informed decisions. They work with statistics related to player performance, game strategy, and opponent tendencies, often using advanced analytics and data visualization tools. Their insights assist coaching staff, front office executives, and scouts in improving team performance, player acquisitions, and game strategies. Strong skills in programming, data modeling, and basketball knowledge are essential for this role.

What are the typical duties and responsibilities of an NBA data analyst during the basketball season?

NBA Data Analysts play a key role throughout the basketball season by collecting, cleaning, and analyzing large sets of game, player, and team data. They generate reports and visualizations that help coaches and executives make informed decisions about strategy, player performance, and opposition analysis. Collaboration is frequent, as analysts regularly meet with coaching staff, scouts, and management to present findings and answer data-driven questions. Their work environment is fast-paced, especially during games and playoffs, with rapid turnaround on actionable insights. The role often requires flexibility in hours and a proactive approach to problem-solving, staying up-to-date with the latest analytical methodologies and basketball trends.

What are the key skills and qualifications needed to thrive in the NBA data analyst position, and why are they important?

To thrive as an NBA Data Analyst, you need a strong background in statistics, data analysis, and basketball analytics, typically supported by a relevant degree in mathematics, statistics, or data science. Familiarity with analytical tools like SQL, Python, R, and data visualization software such as Tableau is essential, and experience using basketball analytics databases (like Synergy Sports or Second Spectrum) is highly valued. Attention to detail, effective communication, and the ability to collaborate with coaches and front-office staff are critical soft skills. These qualifications enable analysts to translate complex data into actionable insights that improve team performance and strategy.

How do you become an NBA data analyst?

To become an NBA data analyst, you typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Experience with sports analytics, understanding of basketball metrics, and familiarity with visualization software can also be beneficial. Gaining internships or entry-level positions in sports analytics helps build relevant experience for this role.

How much do NBA data analysts make?

NBA data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while those with advanced skills in data visualization, statistical analysis, and familiarity with tools like SQL or Python can earn higher compensation.

What are the most commonly searched types of Nba Data Analyst jobs in Washington?

The most popular types of Nba Data Analyst jobs in Washington are:

What are popular job titles related to Nba Data Analyst jobs in Washington?

For Nba Data Analyst jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Nba Data Analyst jobs in Washington look for?

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Nba Data Analyst jobs near you
Infographic showing various Nba Data Analyst job openings in Washington as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $93,598 per year, or $45 per hour.

Senior Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC • On-site

$150K - $190K/yr

Full-time

Posted 15 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.

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