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Golf Data Analytics Jobs in Virginia (NOW HIRING)

540

Senior Software Engineer (AI/ML)

Arlington, VA

$140K - $185K/yr

Design and optimize data models and persistence layers to support both transactional and analytical ... Annual social events (540 Week, hackathon, charity golf tournament, etc.) * Access to 540 ...

KemperSports

Executive Chef

Suffolk, VA · On-site

$68K - $93K/yr

The club features championship golf with an 18-hole course that has hosted all VSGA Major ... Prepare all necessary data for the budget; project annual food and labor costs. Monitor actual ...

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Golf Data Analytics information

What is Golf Data Analytics?

Golf Data Analytics involves collecting, processing, and analyzing data related to golf performance, such as player statistics, shot tracking, course conditions, and tournament results. Professionals in this field use statistical methods and software tools to help golfers, coaches, and organizations make informed decisions to improve performance, strategy, and outcomes. By leveraging data, they can identify trends, strengths, weaknesses, and opportunities for improvement on the golf course.

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

AspectGolf Data AnalyticsGolf Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of golf industrySimilar credentials; often includes certifications in data analysis or sports analytics
Work EnvironmentCollaborative teams in sports organizations, golf clubs, or analytics firmsSame as Golf Data Analytics, often working directly with golf professionals and management
Industry UsageUsed for strategic decision-making, performance analysis, and course managementFocuses on analyzing player performance, shot data, and operational metrics

Golf Data Analytics involves broader strategic and technical analysis within the golf industry, often encompassing data science and modeling. A Golf Data Analyst typically performs the hands-on analysis of golf data, providing insights to improve player performance or operational efficiency. Both roles require similar skills and credentials but differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Golf Data Analytics professional, and why are they important?

To thrive in Golf Data Analytics, you need a strong background in statistics, data analysis, and sports science, often supported by a degree in mathematics, data science, or a related field. Proficiency with data analysis tools such as Python, R, Tableau, and golf-specific tracking systems like ShotLink is typically required. Attention to detail, problem-solving skills, and effective communication help professionals translate complex data into actionable insights for coaches and players. These skills ensure accurate performance analysis and support data-driven decision-making to gain a competitive edge in the sport.

How does a Golf Data Analytics professional typically collaborate with coaches and players to improve performance?

Golf Data Analytics professionals work closely with coaches and players by collecting and interpreting performance data, such as swing metrics, shot patterns, and course statistics. They translate complex data into actionable insights, often presenting findings through visualizations or reports during training sessions. Effective communication and understanding of both technical analytics and golf strategy are essential, as the role requires translating numbers into practical recommendations. This collaborative approach helps tailor training programs and game strategies to individual strengths and areas for improvement.
What are the most commonly searched types of Golf Data Analytics jobs in Virginia? The most popular types of Golf Data Analytics jobs in Virginia are:
What are popular job titles related to Golf Data Analytics jobs in Virginia? For Golf Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Golf Data Analytics jobs in Virginia look for? The top searched job categories for Golf Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Golf Data Analytics jobs? Cities in Virginia with the most Golf Data Analytics job openings:
Golf Data Analytics jobs near you
Infographic showing various Golf Data Analytics job openings in Virginia as of July 2026, with employment types broken down into 48% Full Time, 36% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.

URGENT NEED - Senior Data Engineer @ McLean, VA - Hybrid

Navtech, Inc.

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Re-posted 27 days ago

Job description

I have an opportunity for "Senior Data Engineer" _ McLean, VA - HYBRID" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position : Senior Data Engineer
Duration: 6+ months
Location: McLean, VA Onsite (Hybrid) on Tuesday, Wednesday and Thursday
Interview information:
Rounds: 2 rounds
Duration: 1st round - 30 minutes MS Teams, Video Mandatory | 2nd round - 2 hours IN PERSON INTERVIEW
  • Must have tech stack: Python (3 years), Spark (2years), SQL (advance level), Unix Shell scripting AutoSys and Big Data platform (Hadoop OR AWS).
  • Data pipelines built in Python and Spark. AutoSys is used for automation.
  • Some of the responsibilities will include understanding technical requirements, developing unit test cases, working with users etc.
  • The candidate must have excellent communication skills.

Required Skills: 3 years of experience in Spark. 2 years of experience in SQL and Python.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data science or a related quantitative field.
  • 5 - 6 years of relevant experience in design and development of data pipelines in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs).
  • Hands-on programming experience in Hadoop, Spark, Python and SQL for data processing and analysis.
  • Demonstrated ability to manage competing demands, prioritize work, and manage customer expectations.
  • Strong verbal and written communication skills.

Required Technical Skills:
  • Advanced Python, SQL and Spark, very good familiarity with big data technologies like Hadoop, Scoop, Hive, Ambari.
  • Prior experience working with AWS and Snowflake technologies.
  • Unix Shell script, AutoSys batch scheduling.

Regards
Alex . K
NAVTECH INC
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
Ph: (224) 348-1340 || Email: alex@navtechusa.com || www.navtechusa.com
E-Verified Company
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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