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Internship Golf Data Analytics Jobs in Reston, VA

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

Golf Coach

Washington, DC ยท On-site

$70K - $100K/yr

Strong understanding of swing mechanics , ball flight laws , and launch monitor data . * Proficient with video analysis and comfortable with golf technology tools . * Excellent communication skills ...

Senior Golf Coach

Washington, DC ยท On-site

$80K - $120K/yr

Strong understanding of swing mechanics , ball flight laws , and launch monitor data . * Proficient with video analysis and comfortable with golf technology tools . * Excellent communication skills ...

Golf Coach

Washington, DC ยท On-site

$70K - $100K/yr

Strong understanding of swing mechanics , ball flight laws , and launch monitor data . * Proficient with video analysis and comfortable with golf technology tools . * Excellent communication skills ...

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Internship Golf Data Analytics information

See Reston, VA salary details

$12

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$43

How much do internship golf data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship golf data analytics in Reston, VA is $23.41, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

What is an internship golf data analytics?

Internship Golf Data Analytics jobs are entry-level positions designed for students or recent graduates looking to gain hands-on experience in analyzing golf-related data. These roles typically involve collecting, organizing, and interpreting data from golf tournaments, player statistics, or course metrics to support decision-making for teams, coaches, or organizations. Interns may use software tools to visualize trends, create reports, and provide insights that can improve player performance and strategic planning. This internship is ideal for individuals with an interest in both golf and data analysis, and it often serves as a stepping stone to more advanced analytics roles in the sports industry.

What skills and qualifications are needed for an internship golf data analytics?

To thrive as an Internship Golf Data Analytics, you need a solid understanding of statistics, data analysis, and a background in mathematics or sports analytics. Familiarity with data visualization tools, programming languages like Python or R, and experience using analytics platforms such as Tableau or Microsoft Excel are typically required. Strong attention to detail, problem-solving skills, and effective communication make candidates stand out in this role. These skills and qualities are essential for accurately interpreting golf performance data and delivering actionable insights to coaches and players.

What types of projects can an intern expect to work on in a golf data analytics internship?

As a Golf Data Analytics intern, you can expect to work on projects involving data collection, cleaning, and analysis of various golf performance metrics. Typical tasks may include analyzing player statistics, creating visualizations to identify trends, and assisting in the development of predictive models to enhance coaching or tournament strategies. Interns often collaborate closely with coaches, data scientists, and IT teams, providing valuable insights to support decision-making. This hands-on experience offers exposure to both the technical and sports-specific aspects of analytics, setting a strong foundation for future roles in sports analytics.

What is the difference between Internship Golf Data Analytics vs Golf Data Analyst?

AspectInternship Golf Data AnalyticsGolf Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant program, basic data skillsBachelor's degree in data science, statistics, or related field; experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for ongoing data analysis
Employer & Industry UsageGolf courses, sports analytics firms, equipment companiesGolf clubs, sports organizations, analytics firms

The Internship Golf Data Analytics position is an entry-level, learning-focused role designed for students or recent graduates gaining experience in golf data analysis. In contrast, a Golf Data Analyst is a full-time professional responsible for analyzing and interpreting golf data to inform business decisions. The internship offers foundational exposure, while the analyst role involves more advanced responsibilities and expertise.

What are popular job titles related to Internship Golf Data Analytics jobs in Reston, VA?

For Internship Golf Data Analytics jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Internship Golf Data Analytics jobs in Reston, VA look for?

The top searched job categories for Internship Golf Data Analytics jobs in Reston, VA are:

What cities near Reston, VA are hiring for Internship Golf Data Analytics jobs?

Cities near Reston, VA with the most Internship Golf Data Analytics job openings:

Infographic showing various Internship Golf Data Analytics job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,698 per year, or $23.4 per hour.

Fall 2026 Data and Analytics Intern (DC)

Internship Opportunities

Washington, DC โ€ข On-site

$24/hr

Full-time, Internship

Re-posted 15 days ago


Job description

Description:

Invariant, a bipartisan government relations and communications firm providing strategic advice to companies, trade associations, nonprofits, and individuals, seeks a Data and Analytics Intern for fall 2026. Preference will be given to candidates able to commit to a full-time internship.


The Data & Analytics Intern will assist the team in analyzing online conversations and transforming data into clear, actionable insights for clients. This position emphasizes developing foundational skills in social listening and digital analytics using tools such as Brandwatch. It is ideal for someone who is curious, detail-oriented, and eager to combine data analysis with storytelling.


Responsibilities

  • Assisting in developing and refining search queries to capture relevant online conversations.
  • Gathering and organizing social and digital data from analytics platforms.
  • Detecting trends, patterns, and key themes within large datasets.
  • Converting data into clear, concise insights and narratives.
  • Supporting the creation of client-ready deliverables (e.g., presentations, written reports).
  • Continuously learning and applying new analytical tools and methodologies.
  • Supporting internal AI projects as needed.

Qualifications

  • Demonstrated ability to work collaboratively and communicate efficiently and effectively.
  • Comfortable working in a fast-paced environment while managing competing priorities and deadlines.
  • Established attention to detail.
  • Willing to take initiative.


Applications will be reviewed on a rolling basis. Interns will begin their term with Invariant in person on August 31, 2026. The compensation for this position is $19/hour for undergraduate candidates and $24/hour for graduate candidates.


Invariant is committed to creating a diverse culture and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Requirements: