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Data Analyst Automation Jobs in Utah (NOW HIRING)

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... in report automation. - Assist in campaign planning and performance analysis. Education and ...

Navitas Semiconductor

Pipeline Automation: Architect and automate data pipelines that integrate CRM (D365) and ERP ... Analytics & AI Innovation * AI Development: Build and deploy AI-driven solutions or AI agents to ...

PACS

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... data extraction, transformation, and automation. Qualifications : Required : • 3-5 years of experience in a data analytics, data engineering, or BI analyst role. • Proven ability to build and ...

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All JobsData Analyst Automation JobsData Analyst Automation Jobs in Utah

Data Analyst Automation information

What is the difference between Data Analyst Automation vs Data Analyst?

AspectData Analyst AutomationData Analyst
Required SkillsData automation tools, scripting, programming (Python, SQL)Data interpretation, visualization, statistical analysis
Work EnvironmentAutomating data processes, developing scripts, optimizing workflowsAnalyzing datasets, creating reports, providing insights
CertificationsData analysis, automation tools, programming certificationsData analysis, business intelligence certifications
Industry UsageTech, finance, healthcare with automation focusVarious industries focusing on data insights

While both roles involve working with data, Data Analyst Automation specializes in automating data processes and developing scripts to improve efficiency. Data Analysts focus more on interpreting data, creating visualizations, and providing insights. The automation role requires programming skills, whereas the traditional Data Analyst emphasizes statistical analysis and reporting.

What are popular job titles related to Data Analyst Automation jobs in Utah? For Data Analyst Automation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Analyst Automation jobs in Utah look for? The top searched job categories for Data Analyst Automation jobs in Utah are:
What cities in Utah are hiring for Data Analyst Automation jobs? Cities in Utah with the most Data Analyst Automation job openings:
Data Analyst Automation jobs near you
Infographic showing various Data Analyst Automation job openings in Utah as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Albany International Corp.

Salt Lake City, UT • On-site

Full-time

Posted 12 days ago

Job description

Responsibilities
  • Gather, clean, and validate data from multiple internal and external sources to ensure accuracy and consistency.
  • Analyze operational, program, manufacturing, or supply chain data to identify trends, risks, and improvement opportunities.
  • Improve data quality, reporting processes, and automation through better tools, workflows, and data pipelines.
  • Build and maintain dashboards, reports, and KPI scorecards using tools such as Excel, Power BI, Tableau, or similar platforms.
  • Work cross-functionally with program teams to understand reporting needs and deliver actionable analysis.
  • Support process improvement initiatives by using data to evaluate performance and measure impact.
  • Support leadership with recurring reports, ad hoc analysis, and presentation-ready insights for business reviews.

Qualifications
  • Bachelor's degree in Business, Engineering, Data Analytics, Operations Management, or a related field.
  • 3+ years of experience in project management, operations, business analysis, or a similar role.
  • Strong proficiency in SAP, Excel, SQL, and data visualization tools such as Power BI or Tableau.
  • Experience working with large datasets, dashboards, reporting automation, and KPI development.
  • Experience managing cross-functional projects in a fast-paced environment.
  • Ability to analyze data, identify insights, and translate findings into clear action plans.
  • Strong organizational, communication, and stakeholder management skills.

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