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Ai Data Analytics Jobs in Utah (NOW HIRING)

Applied AI Solutions Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong analytical and problem-solving skills with close attention to detail * Excellent communication skills with the ability to explain AI concepts and data insights clearly to non-technical ...

Applied AI Solutions Engineer

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong analytical and problem-solving skills with close attention to detail * Excellent communication skills with the ability to explain AI concepts and data insights clearly to non-technical ...

AI Enablement Intern

Salt Lake City, UT

$14.50 - $19.25/hr

We'd appreciate guidance on the best way to reach students in computer science, data analytics ... Run AI training sessions. * Document AI use cases. * Measure adoption and time savings. Skills

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... AI tools Required Education and Experience: * 3-5 years of experience in business analytics or a ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... AI tools Required Education and Experience: * 3-5 years of experience in business analytics or a ...

Sales Performance Data Analyst

Salt Lake City, UT · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... This role will report directly to the Director of Data Analytics, but will primarily focus on the ...

Sales Performance Data Analyst

Salt Lake City, UT

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... This role will report directly to the Director of Data Analytics, but will primarily focus on the ...

Showing results 21-40

Ai Data Analytics information

See Utah salary details

$22

$49

$86

How much do ai data analytics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai data analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.
What are popular job titles related to Ai Data Analytics jobs in Utah? For Ai Data Analytics jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Ai Data Analytics jobs? Cities in Utah with the most Ai Data Analytics job openings:
Infographic showing various Ai Data Analytics job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Full-time

Posted 8 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 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

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

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