1

Senior Golf Data Analytics Jobs in Sandy, UT (NOW HIRING)

Strong communication skills with the ability to effectively present insights to senior stakeholders. * High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Strong communication skills with the ability to effectively present insights to senior stakeholders. * High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Strong communication skills with the ability to effectively present insights to senior stakeholders. * High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Senior Specialist, Data Architect

Salt Lake City, UT · On-site

$64.50 - $86.25/hr

Senior Specialist, Data Architect Job Code: 41482 Job Location: Salt Lake City, Utah Job Schedule ... The ideal candidate will have experience supporting analytics, AI/ML, and data solution initiatives ...

Sr. Data Analyst

Salt Lake City, UT · On-site

$85 - $120/hr

... Analytics team, you will be expected to be fluent in all aspects of strategic problem solving ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

... Golf Car industries adding hundreds of dealerships to the Lightspeed community each year ... We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ...

... Golf Car industries adding hundreds of dealerships to the Lightspeed community each year ... We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ...

next page

Showing results 1-20

Senior Golf Data Analytics information

See Sandy, UT salary details

$23.8K

$76.3K

$155.4K

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

As of Aug 30, 2026, the average yearly pay for senior golf data analytics in Sandy, UT is $76,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $97,900.00 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.

What are popular job titles related to Senior Golf Data Analytics jobs in Sandy, UT?

For Senior Golf Data Analytics jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Senior Golf Data Analytics jobs in Sandy, UT look for?

The top searched job categories for Senior Golf Data Analytics jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Senior Golf Data Analytics jobs?

Cities near Sandy, UT with the most Senior Golf Data Analytics job openings:

Infographic showing various Senior Golf Data Analytics job openings in Sandy, UT as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $76,294 per year, or $36.7 per hour.

Manager, Data Analytics

Salt Lake City, UT • On-site

Filevine
Software Development • 11 - 50 employees

Full-time

Medical, Dental, Vision

Posted 9 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Overview
The Manager of Data Analytics will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders.
Responsibilities:
  • Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights.
  • Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting.
  • Manage and mentor data analysts, supporting their technical growth and fostering a culture of accuracy, accountability, and continuous improvement.
  • Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.
  • Conduct complex analyses that inform strategic priorities and operational decisions.
  • Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems.
  • Ensure data integrity, consistency, and precision across all reporting outputs.
  • Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.
  • Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights.
  • Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals.

Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field.
  • 4-6+ years of experience in data analytics or business intelligence, with experience leading or mentoring junior analysts/projects.
  • Demonstrated ability to guide projects and support team development.
  • Expertise in SQL and hands-on experience working with large, complex data environments.
  • Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).
  • Solid understanding of Salesforce data structures and data integration practices.
  • Familiarity with SaaS business models and key financial metrics.
  • Strong communication skills with the ability to effectively present insights to senior stakeholders.
  • High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.