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Data Analyst Computer Science Jobs in Salt Lake City, UT

nCino

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 ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

nCino OpCo

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 ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

The role involves solving technical, data‑driven Healthcare problems using computer science ... The focus is on extending machine learning, predictive modeling, and analytic components to provide ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

... analyze complex datasets, and develop, deploy, and monitor data‑driven solutions. Essential ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field ...

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Data Analyst Computer Science information

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

As of Sep 5, 2026, the average yearly pay for data analyst computer science in Salt Lake City, UT is $79,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 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 Salt Lake City, UT are hiring for Data Analyst Computer Science jobs?

Cities near Salt Lake City, UT with the most Data Analyst Computer Science job openings:

Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Salt Lake City, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,972 per year, or $38.4 per hour.

IAR Senior Data Analyst

Western Governors University

Salt Lake City, UT • On-site

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 630 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $91,000.00 - $136,400.00

Job Description

You will join a collaborative team of data analysts and data engineering professionals responsible for transforming enterprise data into business-ready information. The team partners closely with executive leaders, finance, operational teams, and academic stakeholders to build trusted reporting, define key performance indicators, and create a consistent source of truth across the organization.
Current initiatives include modernizing enterprise reporting, supporting finance and board-level reporting, enhancing data marts, and improving data alignment across systems to ensure consistent decision-making throughout the university.
What You'll Do
  • Partner with stakeholders, faculty staff, leaders, and cross-functional teams to understand business needs and translate them into analytics solutions and technical requirements.
  • Analyze complex data across multiple domains to answer critical business questions, evaluate hypotheses, support research initiatives, and develop forecasts.
  • Design, build, and maintain reporting, dashboards, data visualizations, and analytical products that drive informed decision-making.
  • Collaborate with Data Engineering teams to develop and enhance ETL/ELT processes, data pipelines, and scalable data structures.
  • Identify and resolve complex data quality issues while contributing to standards and best practices that improve enterprise data integrity.
  • Lead and manage analytics projects from discovery through implementation, communicating progress, risks, dependencies, and recommendations to stakeholders.
  • Present insights through compelling data storytelling that enables leaders to take deliberate, informed action.
What You'll Bring
  • Bachelor's degree in a related discipline.
  • 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
  • Advanced SQL proficiency, including queries and subqueries, data modification (INSERT, UPDATE, DELETE), views, joins, filtering, sorting, aggregations, window functions, common table expressions (CTEs), and performance tuning.
  • Strong experience creating dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
  • Experience translating technical concepts and analytical findings into clear, actionable recommendations for business audiences and senior leaders.
  • Experience leading projects or workstreams from planning through delivery while managing multiple priorities and stakeholder expectations.
  • Ability to work independently with a high degree of ownership, curiosity, problem-solving ability, and a bias for action.
  • Knowledge of data modeling concepts, including conceptual and logical data models, dimensional modeling, star schema, and snowflake schema.
  • Experience with descriptive statistics, causal analysis, and inference.
  • Proficiency with Microsoft Office Suite, including advanced Excel skills.
  • Familiarity with project management methodologies such as Agile, Waterfall, and SDLC.
  • Experience using flowcharting and diagramming tools such as Miro, Visio, Lucidchart, or similar software.
Bonus Points
  • Experience working in Databricks environments.
  • Experience with Genie AI or similar AI-enabled analytics tools.
  • Experience developing or working with large language model (LLM) solutions or AI-powered data products.
Experience in Lieu of Education
An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Hiring manager interview (45 minutes)
  • Technical/team-fit panel (60 minutes)
Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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