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Sport Data Analyst Jobs in Reston, VA (NOW HIRING)

Data Scientist I

Alexandria, VA ยท On-site

$90 - $110/hr

Data Scientist I Clearance Required: Secret is required to be considered; the position requires the ... sports, or other military settings. * Strong technical and analytical skills in the following:

New

Subject matter expert on items for industry analytics and reports and other forecasting data, Oracle, Momentus and other relevant sports, entertainment and venue reporting. * Utilize both syndicated ...

Subject matter expert on items for industry analytics and reports and other forecasting data, Oracle, Momentus and other relevant sports, entertainment and venue reporting. * Utilize both syndicated ...

THETEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and ... Support Workday EIBs, payroll data loads, mass updates, and related validation activities.

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Sport Data Analyst information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do sport data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for sport data analyst in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

Can a sport data analyst become a sports analyst?

A sport data analyst can transition to a sports analyst role, as both positions involve analyzing sports data and providing insights. However, a sports analyst may focus more on broader performance analysis, commentary, or scouting, often requiring strong communication skills and industry knowledge. Gaining experience in presentation, reporting, and understanding game strategies can facilitate this career shift.

How much do sport data analysts get paid?

Sport data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and technical skills such as proficiency in data analysis tools and programming languages. Entry-level positions may start around $40,000, while experienced analysts or those working with professional teams can earn over $100,000 per year.

What does a sport data analyst do?

As a sports data analyst, your job is to collect and monitor the statistics for an athlete, game, or team. As part of this analysis, you may use an algorithm to help predict future performance, help apply the information to business decisions, or provide stats and feedback for announcers to mention during a game. Sports data analyst roles fall into two positions. The first is the business aspect. In this version of the job, your main role is helping improve the team's performance by applying data. In the second position, you focus more on entertainment and providing data to fans who want to know more about the athletes. This is a more time-sensitive job during games, and most sports data analysts spend hours inputting and evaluating information so they can be ready to answer questions.

What are the key skills and qualifications needed to thrive as a sport data analyst?

To thrive as a Sport Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, data science, or sports analytics. Familiarity with data analysis tools like SQL, Python, R, and sports-specific software, as well as experience with data visualization platforms, is often required. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and athletes are standout soft skills. These competencies are crucial for translating complex data into actionable insights that improve team performance and strategic decision-making.

What is the difference between Sport Data Analyst vs Sports Statistician?

AspectSport Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or higher in Statistics, Mathematics, or related fields; strong analytical skills
Work EnvironmentSports teams, analytics firms, media companies, or sports organizationsResearch institutions, sports organizations, or media outlets
Employer & Industry UsageUsed for performance analysis, player evaluation, and strategic decision-makingUsed for statistical modeling, historical data analysis, and record keeping

While both roles involve analyzing sports data, Sport Data Analysts focus on applying data insights to improve team performance and strategy using advanced tools. Sports Statisticians primarily handle data collection, record-keeping, and statistical modeling. The roles often overlap but differ in their primary focus and application within the sports industry.

How does a sport data analyst typically collaborate with coaches and athletes to improve team performance?

Sport Data Analysts work closely with coaches and athletes to translate complex data into actionable insights that enhance performance. They often attend training sessions and matches to collect real-time data, and then meet with coaching staff to discuss trends, strengths, and areas for improvement. Effective communication is crucial, as analysts must present their findings in an understandable way that can directly inform game strategies, player development, and injury prevention. This collaborative environment fosters a cycle of continuous feedback and data-driven decision making.
What cities near Reston, VA are hiring for Sport Data Analyst jobs? Cities near Reston, VA with the most Sport Data Analyst job openings:
Infographic showing various Sport Data Analyst job openings in Reston, VA as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution, with an average salary of $85,975 per year, or $41.3 per hour.

Basketball Data Analyst (Mystics)

Monumental Sports & Entertainment

Washington, DC โ€ข On-site

$110K - $130K/yr

Other

Posted 2 days ago

New


Job description

Position Overview:

The Washington Mystics Basketball Data Analyst is responsible for designing, testing, and building statistical models and reports to support the Mystics. This position will be an integral component of research efforts and be a member of a dynamic team consisting of programmers, developers, statisticians, analysts, and data scientists. This role will work closely on projects impacting the decision-making process for the Washington Mystics alongside the front office.

Are you creative and have a passion for exploring, inventing and discovering new insights about basketball and data communication?! We'd love to hear from you!

Responsibilities:
  • Build and develop systems, analytical models, foundational structures, and machine learning models to support decision-making processes for the Mystics.
  • Respond in a timely and efficient manner to ad-hoc requests from Basketball Operations Executives and the front office.
  • Translate data-driven results into actionable basketball decisions and recommendations.
  • Use data to identify possible solutions to strategic questions, including areas of player evaluation, game management, in-game tactics, roster building, salary cap strategy, and broader WNBA league trends.
  • Integrate novel research, basketball metrics, and models into existing and new applications.
  • Originate innovative ways to analyze and summarize data from existing and new partners.
  • Provide the basketball operations departments with the best empirical data and data analysis available, ensuring objectivity and integrity of information through meticulous analytical models.
  • Work with the larger research team to maintain a multidimensional and secure information system that anticipates the needs of the front office.
  • Other duties as assigned.
Minimum Qualifications:
  • Bachelor's Degree or equivalent experience in STEM field including Statistics, Mathematics, Computer Science, Data Science, or similar domain.
  • Basic knowledge of WNBA, team rosters, and league trends.
  • Experience with basketball data, including play-by-play and sports tracking data such as Second Spectrum markings or raw data.
  • Experience with standard SQL and other database management tools.
  • Experience using Python, R, or other statistical programming languages.
  • Experience with data visualization principles and tools.
  • Excellent analytical skills with experience researching and analyzing data.
  • Outstanding written and verbal communication skills.
  • High integrity, dependable, and comfortable with confidential information.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $110k - 130k USD.

Benefit Eligibility:ย This role is eligible to participate in health and welfare benefits.