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Data Analyst Jobs in Payson, UT (NOW HIRING)

Raytheon

Principal Analyst Data Manager

Provo, UT

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 ...

Raytheon

Principal Analyst Data Manager

Provo, UT

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 ...

Raytheon

Senior EO Sensor Data Analyst Engineer

Provo, UT

$100K - $136K/yr

The Effector-Optics (EO) Department is looking for a Senior EO Sensor Analyst / Engineer to develop and implement structured and robust data analysis tools to support production Tier II Exo ...

Mizu Inc

Staff Accountant

Lindon, UT · On-site

$49K - $65K/yr

Create and maintain BI reports under the supervision of the data analyst. * Performs other related duties as assigned. Required Skills/Abilities: * Knowledge of general financial accounting and cost ...

Goodfellow Corp.

Inventory Control Manager

Lindon, UT · On-site

$90 - $120/hr

Partner with the Data Analyst to improve inventory reporting, visibility, and analysis. * Support the maintenance and accuracy of inventory and pricing information. * Provide management with regular ...

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All JobsData Analyst JobsData Analyst Jobs in Payson, UT

Data Analyst information

See Payson, UT salary details

$30.8K

$74.9K

$123.2K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Payson, UT is $74,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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The top searched job categories for Data Analyst jobs in Payson, UT are:

What cities near Payson, UT are hiring for Data Analyst jobs?

Cities near Payson, UT with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Payson, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $74,855 per year, or $36 per hour.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job 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.

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