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Data Analyst Jobs in Utah (NOW HIRING)

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

  • Medical

  • Retirement

  • PTO

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and ...

Filevine

Sales Performance Data Analyst

Salt Lake City, UT

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • PTO

This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations. The ideal candidate will come in with a strong knowledge of ...

Filevine

Sales Performance Data Analyst

Salt Lake City, UT · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • PTO

This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations. The ideal candidate will come in with a strong knowledge of ...

iCapital

Alternative Data Management - Analyst

Salt Lake City, UT · Hybrid

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role iCapital is seeking an Alternative Data Management Analyst to join the Data Solutions team. This individual must be comfortable working in a dynamic, performance-driven, fast-paced ...

Raytheon

Principal Analyst Data Manager

Provo, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Lendingclub Corporation

Sr Compliance Data Analyst

Lehi, UT · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role Happen Bank's Compliance Team is looking for an experienced compliance data analytics professional to join the team. In this role, you will be responsible for developing, implementing ...

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All JobsData Analyst JobsData Analyst Jobs in Utah

Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data 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 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.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Utah?

The most popular types of Data Analyst jobs in Utah are:

What are popular job titles related to Data Analyst jobs in Utah?

For Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Utah look for?

The top searched job categories for Data Analyst jobs in Utah are:

What cities in Utah are hiring for Data Analyst jobs?

Cities in Utah with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Engineer/Analyst

Illumination Works LLC

Hill Air Force Base, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Location and Travel Details: Hybrid Onsite 2-3 days a week at Hill Air Force Base (Ogden, UT)

Illumination Works is looking for a Data Analyst/Engineer to join our dynamic team at Hill Air Force Base, Utah, where we specialize in innovative data solutions and analytics. We are committed to leveraging technology to enhance data processing and insights, contributing to our strategic goals and mission effectiveness. This role involves a blend of technical expertise and collaborative skills, working in a hybrid environment to optimize data processes and contribute to our data-driven objectives.

The key responsibilities include:

  • Collaborate with the data team to automate the Extract, Transform, Load (ETL) process using Azure Functions and Python
  • Utilize Python scripting and core data libraries (e.g. Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis
  • Act as data steward by governing and accounting for inbound and outbound datafeeds, coordinating with interorganizational stakeholders
  • Leverage PySpark and Spark SQL in Databricks to architect and maintain big data ETL processes
  • Implement data lineage, logging, and auditability preferably with exposure to Azure Log Analytics and Application Insights
  • Operate within the government version of Azure, adapting to its specific features and requirements
  • Maintain and develop BI dashboards with tools like Qlik and Plotly
  • Work effectively both independently and as part of a team, demonstrating strong collaborative skills
  • Proactively seek to understand the underlying data and the business logic it supports, contributing to informed data analysis and decision-making
  • Navigate cross-functional collaboration, bridging infrastructure, developer, and end-user needs to translate requirements into technical solutions

Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members.

Key skills we look for include:

  • Must have existing Secret Clearance
  • 3+ years of experience as a Data Analyst/Engineer, with a focus on Python scripting, SQL and ETL processes
  • Familiarity with Azure Functions and Azure Log Analytics, or similar technologies
  • Strong analytical skills and a keen interest in understanding data in a business context
  • Excellent interpersonal skills
  • Existing CompTIA Security+ certification or ability to acquire
  • Minimum education: Bachelor’s degree in Computer Science, Data Science or Analytics, Applied Mathematics, Information Systems, Software Engineering, or comparable academic discipline
  • Acceptable candidates must successfully pass a drug test and background screen


About ILW

At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com.

Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market-competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies. 

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

Know Your Rights Poster

E-Verify Participation Poster (uscis.gov)

Accommodations
If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Human Resources Staff by sending an email to ILW_HR@ilwllc.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.

Notification for current or previously cleared professionals:

Official U.S. Government information appearing in the public domain shall not automatically be considered UNCLASSIFIED or approved for public release. ILW recognizes that information contained in resumes of current or previously cleared professionals may be sensitive, containing potentially proprietary and/or protected information. Protected Information is considered classified, in the process of a classification determination, or unclassified, but protected by statute. Therefore, all resumes should be approved for public release by a U.S. Government Official with Original Classification Authority, prior to posting the resume to ILW’s applicant tracking system.


By submitting my resume, I understand that I am NOT authorized to upload content with Official U.S. Government information that is considered, sensitive, proprietary, or protected.