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Data Analyst Jobs in Utah (NOW HIRING)

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 ...

Ancestry.com Operations Inc. seeks Data & Reporting - Content Analyst in Draper, UT Job Duties: Participate in product planning, new product design, execution, review, and continuous product feature ...

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: 8/18/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

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 ...

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 ...

Showing results 41-60

Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst jobs pay per year?

As of Sep 7, 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.

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 cities in Utah are hiring for Data Analyst jobs?

Cities in Utah with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Full-time

Medical, Retirement, PTO

Posted 26 days ago


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Job description

Job Description
SUMMARY:
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 programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven decision-making
JOB DUTIES:
• Responsible for end-to-end design and maintenance of BI tool data sets, data models, reports, dashboards and visualizations in support of all department functions,
• Designs, develops and optimizes data models for the business unit and other departments.
• Routinely meets with various stakeholders to understand their data needs. Develops solutions and processes to fulfill requirements. This typically includes BI dashboards, Python programs, or Excel/VBA reports.
• Enhances business insights and decision making with robust, intuitive data visualizations.
• Leverages transactional data from enterprise resource planning (ERP) applications to extract, transform and model into reporting and analytics solutions.
• Coordinates incremental creation and structure of QVD files from disparate data sources.
• Identifies the most impactful layout and presentation of key performance metrics in easy to use self-service dashboards.
• Partners with the IT team to develop security standards for BI applications and usage of QVD files containing sensitive financial information.
• Partners and develops relationships with cross-functional leaders to improve processes and documentation, and recommends changes that lead to the adoption of world class processes.
• Proactively seeks out opportunities to increase business knowledge and create visibility within the organization.
• Generates new ideas to streamline processes and collaborates with other departments to create operational efficiencies.
• Establishes and implements best practices for data modeling & visualization. Ensures data accuracy.
• Performs other duties as assigned.
EDUCATION & EXPERIENCE:
Typically requires a bachelor's degree in information systems and three (3) to five (5) years of related work experience or an equivalent combination.
KNOWLEDGE, SKILLS, ABILITIES:
• Proficient with Microsoft Office Suite.
• Advanced SQL and experience with a variety of relational databases.
• Strong analytical skills and the ability to propose positive business solutions.
• Reliability, organization and attention to detail.
• Excellent written and oral communication, including presentation skills.
• Knowledge of database design techniques and advanced SQL skills required.
• Proficiency in Python, R, or other statistics platform preferred.
• Professional presence with excellent interpersonal skills, including the ability to interact with management at corporate and department levels.
• Forward-thinking in implementing tools and techniques to improve analytics, driving better business decisions. Self-motivated and able to independently manage multiple responsibilities concurrently
• Ability to collaborate within a team, managing team dynamics and relationships.
• Strong partnership skills, across all levels of management, with ability to influence and challenge decisions and processes.
• Driver of results, developer and influencer of peers.
LICENSES & CERTIFICATIONS: BI tool certification preferred.
COMPANY INFORMATION:
Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay.
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