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Full Time Data Analyst Jobs in Utah (NOW HIRING)

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Applicants must be currently authorized to work in the United States on a full-time basis. Note:

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced ...

This is a full-time, on-site role for a Product Analyst located in Draper, Utah. The Product Analyst will be responsible for conducting thorough data analysis, gathering and interpreting business ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

This is a full-time role and will work a hybrid schedule in Lehi, Utah. Essential Duties and ... Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science ...

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Showing results 1-20

Full Time Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do full time data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time 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 full time data analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What are the key skills and qualifications needed to thrive as a full time data analyst, and why are they important?

To thrive as a Full Time 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, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a full time data analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

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 Full Time Data Analyst jobs?

Cities in Utah with the most Full Time Data Analyst job openings:

Infographic showing various Full Time Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Full-time

Posted 16 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

This position is part of the BYU-Pathway Institutional Research (IR) team, which makes data visible and actionable for organizational decision-makers and implementation teams. BYU-Pathway operates with more of a start-up feel than is common in higher education research, creating significant opportunity for innovation and analytical impact. Leadership relies on IR to explain initiative performance, monitor key performance indicators, conduct applied research, and forecast future institutional outcomes.
This position is centered on transforming institutional data and research into trusted analytic products, clear findings, and actionable guidance. The incumbent will build and maintain reporting products, execute research projects, steward complex analytic methods, support shared reporting standards, and coordinate with internal and partner-organization stakeholders. Success requires strong technical capability, disciplined research practice, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences.

Work Schedule: This is a full-time benefitted position located within commuting distance of BYU-Pathway headquarters in downtown Salt Lake City. The position is hybrid-remote, currently requiring 1-3 days per week in the office, and the incumbent must physically reside and perform assigned work in Utah. Occasional travel will be necessary.

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.

Education
Bachelor's degree in statistics, data science, computer science, economics, mathematics, educational assessment, social science research, or another quantitative field. Master's degree preferred.


Experience
Experience in business intelligence, data analytics, reporting, or institutional research. Experience integrating data from multiple systems and supporting organizational decision-making is preferred.


Required Skills
    Power BI (reports, data models, Dataflows, Power Query, DAX)
    Proficiency in SQL for extracting, validating, and shaping data for analysis and reporting
    Data integration and data quality validation procedures
    Understanding of data lifecycle and reporting architecture
    Strong research design skills, including translating stakeholder needs into measurable questions, defining outcomes, selecting methods, and documenting assumptions and limitations
    Statistical analysis[DW4.1] and quantitative reasoning (descriptive and inferential) 
    Data visualization skills (technical and soft skills) which integrates analytics, design, and storytelling
    Strong written and verbal communication
 

Preferred Skills[DW5.1]
    Survey design, administration, and reporting (particularly in Qualtrics).
    Semantic models and data modeling
    R programming experience
    Experience in designing and synthesizing qualitative research (e.g., interviews, focus groups, and mixed-methods synthesis).
    Experience in higher education or institutional research
    Experience with learning analytics and assessment
 

1. Develop and Maintain Reporting & Analytics Solutions
  • Develop and maintain PowerBI dashboards, reports, semantic models, and dataflows.
  • Integrate data from multiple institutional systems to create reliable trend analyses, especially directed at the management and reporting of core institutional forecasting operations
  • Develop and manage recurring surveys and associated reporting processes using approved data collection instruments[DW1.1][KG1.2] and channels (e.g. Qualtrics)
  • Automate reporting workflows, including appropriate use of AI-assisted tools where they improve efficiency and quality.
  • Promote and maintain data life-cycle documentation by helping define business terminology, metadata standards, and data lineage to strengthen institutional data context and discoverability
2. Applied Research and Advanced Analysis
  • Collaborate with stakeholders to understand business questions and analytical needs.
  • Gather, prepare, and analyze institutional data to support applied research and organizational decision-making.
  • Apply statistical and analytical techniques to identify trends, relationships, and opportunities.
  • Conduct research using a variety of quantitative and qualitative methods appropriate to the project, making use of current best practices.
  • Regularly summarize findings for BYU-Pathway stakeholder and executive leadership through reports, dashboards, presentations, and visualizations
3.  Decision Support and Project Management
  •  Respond to ad hoc data requests and perform deep-dive analyses.
  •  Partner with request and project stakeholders to define requirements, clarify analytic assumptions, and promote consistent interpretation of impact and metrics.
  • Working with IR team and Pathway leadership, prioritize and manage project lifecycles and outcomes according to stakeholder expectations and delivery deadlines.
4. Reporting Standards and Data Quality
  • Maintain and update shared standards and practices used in reporting, analytics, and related operational workflows
  • Ensure reporting designs and data collections align with church, CES and BYU-Pathway data governance protocols and requirements
  • Identify inconsistencies in data or reporting procedures and recommend improvements
5. Facilitate cross-organization partnerships
  • Collaborate with partner organizations on shared reporting and analytics initiatives
  • Support effective adoption of reporting solutions through clear documentation, user guidance, and stakeholder training
  • Represent the IR team or BYU-Pathway in Church, CES or related higher education meetings and presentations

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