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Ai Data Analytics Jobs in Utah (NOW HIRING)

Data Engineer IV - AI & Data Products

Draper, UT ยท On-site

$107K - $128K/yr

Collaborate with analytics and business partners to define and build semantic layers/models to ... AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g ...

Manage cloud access controls, user roles, and data retention policies to ensure privacy and regulatory compliance. 3. Advanced Analytics & AI Innovation * AI Development: Build and deploy AI-driven ...

Improve data governance for both the Data & Analytics team and the business at large by creating documentation that's actually useful and that AI agents can consume as context for future work.

This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation. * You will partner directly with the Director of Executive and Equity Compensation ...

The ideal candidate will have experience supporting analytics, AI/ML, and data solution initiatives, with strong skills in stakeholder communication, requirements gathering, solution development, and ...

Data & AI Platform Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Data Warehouse Analytics Specialist

Sandy, UT ยท On-site

$17 - $21.75/hr

Position Overview Challenger School is seeking a Data Warehouse & Analytics Specialist to help build trustworthy, well-documented, AI-ready data assets that support reporting, analytics, research ...

Data Warehouse Analytics Specialist

Sandy, UT ยท On-site

$17 - $21.75/hr

Position Overview Challenger School is seeking a Data Warehouse & Analytics Specialist to help build trustworthy, well-documented, AI-ready data assets that support reporting, analytics, research ...

Staff Data Analyst

Draper, UT ยท On-site

$123.80 - $174.70/hr

Build AI-augmented analytics systems that scale insight generation across the program, including ... Experience with dbt and data modeling, including designing reusable, production-grade data assets ...

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Ai Data Analytics information

See Utah salary details

$22

$49

$86

How much do ai data analytics jobs pay per hour?

As of Aug 26, 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 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 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.

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 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.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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, 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 $103,667 per year, or $49.8 per hour.

Data Engineer IV - AI & Data Products

Draper, UT โ€ข On-site

Upbound
11 - 50 employees

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post hasย expired 6 days ago.ย Applications are no longer accepted.


Job description

Data Engineer IV - AI & Data Products

(Draper UT, In-Office)

Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving needs and aspirations of underserved customers. The Company's customer-facing operating units include industry-leading brands such as Acima, Brigit, and Rent-A-Center that facilitate consumer transactions across a wide range of store-based and digital channels, including over 2,300 company branded retail units across the United States, Mexico, and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.

KEY RESPONSIBILITIES

Data Products & Data Integration

  • Define, build, validate and maintain domain-specific data product assets and data pipelines.

  • Collaborate with analytics and business partners to define and build semantic layers/models to support various personas - Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and AI use cases/agents.

  • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools.

  • Build high quality solutions and assets aligned to defined architectural guidelines, data integration patterns, frameworks, and tools.

  • Build solutions aligned to security, risk, and compliance guidelines.

  • Support analysts and product teams with data products and assigned data domain expertise.

  • Assemble large complex data sets that meet functional/non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.

  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Data Governance & Quality

  • Manage business glossary in collaboration with business teams and build/maintain technical metadata for assigned data domains.

  • Define data quality rules and controls for assigned data domains and data assets (consumption, gold, silver, bronze layer tables).

  • Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases.

Stakeholder Collaboration

  • Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets (consumption, gold, silver, bronze layer tables)

  • Translate business requirements into Data Products and data assets (consumption, gold, silver, bronze layer tables & pipelines) build specifications.

SKILLS, EXPERIENCES & QUALIFICATIONS

  • 8+ years of experience in Data Engineering roles

  • 2+ years of warehouse data modeling and pipeline design experience

  • Experience with data warehousing: Snowflake or similar systems

  • Strong Python experience

  • Strong SQL experience

  • Strong REST API experience

  • Experience using Linux.

  • Ability and motivation to learn new technologies quickly with minimal support and guidance.

  • Strong communication skills

  • Experience supporting and working with cross-functional teams in a dynamic environment.

Additional Experience:

  • AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.

  • Intelligent Pipeline Development - Ability to design pipelines that incorporate AI for data transformation, anomaly detection, data classification, and schema evolution.

  • AI-Enabled Data Quality & Observability - Experience using AI/ML techniques for automated data quality checks, root cause analysis, and proactive monitoring.

Metadata & Semantic Layer Enrichment - Ability to use AI to auto-generate metadata, data documentation, semantic mappings, and business glossary entries

COMPENSATION/BENEFITS

  • Full health benefits-Medical/Dental/Vision

  • 401(k) match, 6%/3%

  • DTO (discretionary time off)

  • Health savings account (HSA) with company contribution

  • College tuition reimbursement program (STEAM degrees)

  • Unlimited use of Linkedin Learning

  • Free car charging

  • Onsite gym and showers

SPONSORSHIP

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visaat this time.

Upbound is an equal opportunity employer committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.