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Senior Golf Data Analytics Jobs (NOW HIRING)

Senior Analyst - Data & Analytics

Charlotte, NC ยท On-site

$84K - $106K/yr

Interest or experience in data analytics, financial management, portfolio reporting, technology delivery, business intelligence, or data informed decision making * Foundational knowledge of data ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

## Senior Data & Analytics SpecialistBewerbenlocations: Braseltontime type: Vollzeitposted on: Heute ausgeschriebenjob requisition id: JR\_1002377**Dein neuer Arbeitgeber sucht impulsgebende Macher ...

Senior Reporting & Data Analytics Location: Charlotte, NC preferred. Also open to Jersey City, NJ and Pennington, NJ. Duration: Contract - 12 months Pay Range: Charlotte, NC -$67.89 (Pay Rate: $47.80 ...

Sr. Manager Data Analytics

Leesburg, VA ยท On-site

$150K - $170K/yr

Sr. Manager Data Analytics VB Spine Leesburg, Virginia, United States About this position Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a career where ...

Sr Manager, Data & Analytics

Chicago, IL ยท On-site

$160K - $180K/yr

Senior Finance Manager, Data & Analytics Location: Flexible / Hybrid Compensation: $130,000-$180,000 base salary, eligibility to earn discretionary bonus About the Role We are seeking a strategic and ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

Senior Reporting & Data Analytics Location: Charlotte, NC preferred. Also open to Jersey City, NJ and Pennington, NJ. Duration: Contract - 12 months Pay Range: Charlotte, NC -$67.89 (Pay Rate: $47.80 ...

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Senior Golf Data Analytics information

See salary details

$25K

$80.3K

$163.5K

How much do senior golf data analytics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for senior golf data analytics in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What does a senior golf data analytics professional do?

A Senior Golf Data Analytics professional is responsible for collecting, analyzing, and interpreting large sets of data related to golf, such as player performance, course statistics, and tournament trends. They use advanced statistical methods and data visualization tools to provide actionable insights to coaches, players, and organizations. Their work helps improve strategies, player development, and decision-making processes within the golf industry. Additionally, they often collaborate with IT and sports science teams to enhance data collection methodologies and reporting systems.

How does a senior golf data analytics professional typically collaborate with coaches and players to drive performance improvements?

As a Senior Golf Data Analytics professional, you will frequently work alongside coaches and players to interpret complex data sets and translate insights into actionable strategies. This involves presenting findings in clear, accessible ways, and often requires tailoring analyses to address specific performance questions or challenges faced by the team. Effective collaboration also means staying updated on the latest analytics tools and methodologies, and sometimes leading workshops or consultations to help stakeholders integrate data-driven decision-making into their routines.

What are the key skills and qualifications needed to thrive as a senior golf data analytics professional, and why are they important?

To thrive as a Senior Golf Data Analytics professional, you need advanced skills in statistical analysis, data modeling, and a solid understanding of golf performance metrics, usually supported by a degree in statistics, mathematics, or a related field. Familiarity with analytics tools such as Python, R, SQL, and specialized sports data platforms is essential, along with experience using data visualization tools like Tableau or Power BI. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable insights for coaches and athletes. These skills are vital for driving data-informed decisions that enhance player performance and strategic outcomes in the golf industry.
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What cities are hiring for Senior Golf Data Analytics jobs?

Cities with the most Senior 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 Senior Golf Data Analytics jobs?

States with the most job openings for Senior Golf Data Analytics jobs include:

Infographic showing various Senior Golf Data Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Analyst - Data & Analytics

Charlotte, NC โ€ข On-site

$84K - $106K/yr

Other

Posted 7 days ago


Job description

Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources to support analysis and reporting
Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and areas for follow up
Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership ready summaries for technology stakeholders
Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights that support technology portfolio and project decision making
Partner with technology, finance, product, project, and business teams to understand reporting needs and translate them into accurate analytical outputs
Support Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns
Prepare presentations, narratives, and stakeholder updates that communicate data backed insights to technical and non technical audiences
Use Agentic AI, reporting, data analytics, and productivity tools to support research, summarization, analysis, workflow efficiency, and human validated outputs

Requirements
  • Must have earned a Master's degree in Business Administration, Finance, Information Technology, Information Systems, Business Analytics, Data Analytics, Computer Science, Economics, or another relevant field before the full time start date
  • Students must have a graduation date between December 2026 and June 2027
  • Interest or experience in data analytics, financial management, portfolio reporting, technology delivery, business intelligence, or data informed decision making
  • Foundational knowledge of data analytics concepts, including data collection, validation, analysis, visualization, and insight generation
  • Foundational understanding of financial management principles such as budgeting, forecasting, cost tracking, variance analysis, or financial modeling
  • Awareness of Software Development Lifecycle and Agile methodology concepts within a technology delivery environment
  • Foundational understanding of Generative AI concepts, responsible use, appropriate use contexts, prompt based workflows, and human validation of AI generated outputs
  • Strong analytical thinking, attention to detail, communication, organization, problem solving, and collaboration skills
  • Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions
Core Competencies

Demonstrates expertise in data analytics, financial management, and technology delivery, with a strong ability to create insightful reports and dashboards that inform decision-making. Proficient in collaborating with cross-functional teams to translate complex data into actionable insights for both technical and non-technical stakeholders.

Highest-signal resume keywords
  • Data Analytics
  • Financial Management
  • Portfolio Reporting
  • Agile Methodology
  • Generative AI Concepts
Hard Skills
  • Data Collection
  • Data Validation
  • Data Analysis
  • Data Visualization
  • Financial Modeling
  • Budgeting
  • Forecasting
  • Variance Analysis
  • Dashboard Creation
  • Performance Indicator Development
Soft Skills
  • Analytical Thinking
  • Attention to Detail
  • Communication
  • Organization
  • Problem Solving
  • Collaboration
Certifications & Qualifications
  • Masterโ€™s Degree in Business Administration
  • Masterโ€™s Degree in Finance
  • Masterโ€™s Degree in Information Technology
  • Masterโ€™s Degree in Information Systems
  • Masterโ€™s Degree in Business Analytics
  • Masterโ€™s Degree in Data Analytics
  • Masterโ€™s Degree in Computer Science
  • Masterโ€™s Degree in Economics
Industry Keywords
  • Software Development Lifecycle
  • Technology Delivery
  • Business Intelligence
  • Data Informed Decision Making
Tools & Technologies
  • Agentic AI
  • Reporting Tools
  • Data Analytics Tools
  • Productivity Tools
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