1

Senior Golf Data Analytics Jobs in Raleigh, NC (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Senior FP&A Planning Analyst (Oracle EPM)

Cary, NC · On-site +1

$80K - $99K/yr

Senior FP&A Planning Analyst (Oracle EPM) Hybrid - Cary, North Carolina or US - Remote We're a ... Partner with Finance Data & Analytics and IT teams on the configuration, build, design and testing ...

Senior FP&A Planning Analyst (Oracle EPM)

Cary, NC · On-site +1

$80K - $99K/yr

Senior FP&A Planning Analyst (Oracle EPM) Hybrid - Cary, North Carolina or US - Remote We're a ... Partner with Finance Data & Analytics and IT teams on the configuration, build, design and testing ...

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the ... The Senior Data Scientist will work in a cross-functional team environment under the direction of ...

Showing results 41-60

Senior Golf Data Analytics information

See Raleigh, NC salary details

$24.3K

$78K

$158.9K

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

As of Aug 12, 2026, the average yearly pay for senior golf data analytics in Raleigh, NC is $78,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 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.

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.

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 cities near Raleigh, NC are hiring for Senior Golf Data Analytics jobs? Cities near Raleigh, NC with the most Senior Golf Data Analytics job openings:

Data Engineer - Senior Associate

Pwc

Raleigh, NC • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom