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Data Analyst Analyst Jobs in Utah (NOW HIRING)

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

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Data Analyst Analyst information

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$31K

$75.2K

$123.8K

How much do data analyst analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What work does a data analyst do?

A data analyst collects, processes, and interprets large datasets to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around industry-standard rates, while experienced analysts with skills in tools like SQL, Excel, and data visualization can earn higher salaries. Certifications and advanced education can also contribute to increased compensation.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level positions may be available for candidates with relevant coursework, certifications, or strong analytical skills, and many employers offer on-the-job training.
What cities in Utah are hiring for Data Analyst Analyst jobs? Cities in Utah with the most Data Analyst Analyst job openings:
Infographic showing various Data Analyst Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition, LLC

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions. 

The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations. 


WHAT YOU'LL DO 

  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities. 
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources. 
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes. 
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance. 
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity. 
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company. 
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data. 

 Benefits

- Opportunity for Advancement

- Quarterly Bonuses

- 12 Paid Holidays plus a Floating Holiday and PTO

- Sick Days (separate from PTO)

- Employee Discounts on Product

- 401k Match

- Medical, Dental, Vision, and Life Insurance

- HSA Match

- Employee Referral Bonus

- Clean Working Environment


Requirements

 QUALIFICATIONS 

  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience. 
  • Experience analyzing sales, marketing, retail, or other business data. 
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work. 
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis. 
  • Proficiency in Microsoft Excel or Google Sheets. 
  • Working knowledge of SQL and experience with databases or cloud data warehouses. 
  • Experience creating clear reports, visualizations, and presentations. 
  • Strong written and verbal communication skills. 
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines. 
  • A proactive approach and an interest in learning new tools, data sources, and business processes. 

PREFERRED QUALIFICATIONS 

  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data. 
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources. 
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms. 
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts. 
  • Experience creating customer facing sales presentations or data driven selling stories. 

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.