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$33K

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$140K

How much do entry level golf data analytics jobs pay per year?

As of Jun 6, 2026, the average yearly pay for entry level golf data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Golf Data Analytics vs Entry Level Sports Data Analytics?

AspectEntry Level Golf Data AnalyticsEntry Level Sports Data Analytics
Required CredentialsBachelor's in Sports Management, Data Science, or related field; familiarity with golf industry data toolsBachelor's in Sports Management, Data Science, or related field; knowledge of sports statistics and analytics tools
Work EnvironmentGolf courses, sports clubs, or golf industry companiesSports teams, leagues, or sports analytics firms
Employer & Industry UsageGolf industry, sports technology companiesVarious sports sectors, including professional and amateur sports

Both roles involve analyzing sports data at an entry level, requiring similar educational backgrounds and analytical skills. The main difference lies in the specific industry focus: golf versus broader sports sectors. Entry Level Golf Data Analytics is tailored to the golf industry, while Entry Level Sports Data Analytics covers multiple sports disciplines.

What cities are hiring for Entry Level Golf Data Analytics jobs? Cities with the most Entry Level Golf Data Analytics job openings:
What are the most commonly searched types of Golf Data Analytics jobs? The most popular types of Golf Data Analytics jobs are:
What states have the most Entry Level Golf Data Analytics jobs? States with the most job openings for Entry Level Golf Data Analytics jobs include:
What job categories do people searching Entry Level Golf Data Analytics jobs look for? The top searched job categories for Entry Level Golf Data Analytics jobs are:
Entry Level Golf Data Analytics jobs near you
Infographic showing various Entry Level Golf Data Analytics job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 50% Part Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
NewForce Entry Level Data Analyst (2026)

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities

Apply