1

Data Analyst Computer Science Jobs in Lehi, UT (NOW HIRING)

Bachelor's degree, or foreign equivalent, in Computer Science, Statistics, Mathematics, Business ... Experience conducting root cause analysis of production data using techniques like log analysis and ...

New

Develop analytics to address customer needs and opportunities. Work alongside software developers ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Detail-oriented. * Master of Science degree or higher in Computer Science, Statistics, or ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

Showing results 21-40

Data Analyst Computer Science information

See Lehi, UT salary details

$31.9K

$77.6K

$127.7K

How much do data analyst computer science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst computer science in Lehi, UT is $77,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Lehi, UT are hiring for Data Analyst Computer Science jobs?

Cities near Lehi, UT with the most Data Analyst Computer Science job openings:

Infographic showing various Data Analyst Computer Science job openings in Lehi, UT as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,575 per year, or $37.3 per hour.

$125K/yr

Full-time

Posted 14 days ago


Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

159th of 297 rated public sector bodies


Job description

WHAT IS THE CRIMINIAL INVESTIGATIONS DIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled
    • CI
      • Advanced Analytics & Innovation
      • Cyber & Forensic Services (DC area only)
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:

  • Demonstrated professional competence in applying the theoretical foundations of computer science, including the design, development and application of computer systems and architectures, artificial intelligence, natural language processing, deep learning, data ingestion, normalization, and ontologies.
  • Applying software exploitation techniques, cryptanalysis, or blockchain technology.
  • Interpreting and applying relevant mathematical and statistical sciences.
  • Working complex assignments in research, acquisition, design, development and maintenance of information systems for identifying and tracing movements in cryptocurrency, deanonymization of online actors, identifying suspicious activity, or analyzing and organizing large volumes of unstructured data.
  • Leading projects to design, acquire, and implement major prototype and developmental systems.
  • Making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.

AND
You must also meet the following requirements:

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

What Internal Revenue Service employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom