1

Data Analyst Data Science Jobs in Utah (NOW HIRING)

Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Several years of data science experience are preferred. Requirements You need to be: Independent ... First, and most importantly, is the design and analysis of experiments. We run a substantial number ...

Demonstrated ability to take data science projects from development to production. * Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

next page

Showing results 1-20

Data Analyst Data Science information

See Utah salary details

$13

$35

$61

How much do data analyst data science jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analyst data science in Utah is $35.59, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $43.12 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Utah? For Data Analyst Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Utah look for? The top searched job categories for Data Analyst Data Science jobs in Utah are:
What cities in Utah are hiring for Data Analyst Data Science jobs? Cities in Utah with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Utah as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $74,034 per year, or $35.6 per hour.
Data Science Internship

Full-time

Posted 11 days ago


Church of Jesus Christ of Latter-day Saints rating

8.5

Company rating: 8.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

2nd of 15 rated religious organizations


Job description


This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department.
Responsibilities
Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.
Qualifications
We have to openings for Data Science Interns. See the qualifications and requirements below.
Posting #1: Data Science Internship
Required Skills:
  • MS Power Query
  • DAX, Dataflows
  • Excel
  • Data Modeling

Posting #2: Data Science Internship
Required Skills:
  • Power Platform
  • Data Management
  • Testing and Deployment
  • Dataflows
  • Excel
  • Data Modeling
  • Customer Service & Communication

Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Letter.
About Us
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

What Church of Jesus Christ of Latter-day Saints employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom