1

Intern Business Intelligence Engineer Jobs in Utah

... Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to ...

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

Accounting Intern

Orem, UT · On-site

$14 - $17.50/hr

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

Finance Intern

Orem, UT · On-site

$15.50 - $20.25/hr

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

... Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to ...

Cybersecurity Intern

Orem, UT · On-site

$13 - $17.50/hr

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

Platform Services Intern

Orem, UT · On-site

$13 - $17.50/hr

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

IT Service Center Intern

Orem, UT · On-site

$13 - $17.50/hr

... Business Intelligence, Computer Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job Responsibilities: * Business Requirements Gathering * Data Pipeline ...

Leidos, a leading defense, intelligence, and technology company, is seeking motivated and aspiring ... Basic scripting and programming (e.g., Python, Bash). * Computer Network Defense (CND) domains:

Role Summary We are seeking a strong Analytics Engineer to join our Data Strategy and Architecture ... reporting, business intelligence, operational analytics, and executive decision-making. The ...

... e.g., CRM, business intelligence tools, legal platforms, marketing automation systems, and ... CI/CD (Azure DevOps/GitHub), Terraform, test automation, versioning, feature flags. * Security ...

Showing results 41-60

Intern Business Intelligence Engineer information

See Utah salary details

$10

$17

$26

How much do intern business intelligence engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for intern business intelligence engineer in Utah is $17.58, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.04 per hour, depending on experience, location, and employer.

What does an intern business intelligence engineer do?

An Intern Business Intelligence Engineer assists with collecting, analyzing, and interpreting data to help organizations make informed business decisions. Their responsibilities often include building dashboards, preparing reports, and supporting data warehouse management under the guidance of senior BI engineers. They may also help with data cleaning, automation of data processes, and learning how to use BI tools such as Tableau, Power BI, or SQL. The role is ideal for students or recent graduates interested in data analysis and business strategy. Interns gain hands-on experience in real-world business data environments.

What are the key skills and qualifications needed to thrive as an intern business intelligence engineer?

To thrive as an Intern Business Intelligence Engineer, you need strong analytical skills, a foundation in data analysis, and familiarity with SQL, data modeling, or statistics, often supported by coursework in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, or Looker, and basic knowledge of programming languages like Python or R, are typically expected. Attention to detail, problem-solving ability, and effective communication will help you translate complex data insights into actionable business recommendations. These skills and qualities are vital for transforming raw data into meaningful information that drives informed business decisions.

What types of projects and responsibilities can an intern business intelligence engineer expect during their internship?

As an Intern Business Intelligence Engineer, you’ll typically assist with designing, developing, and maintaining data models, dashboards, and reports that support business decision-making. Your daily tasks may include analyzing large data sets, working with SQL or data visualization tools, and collaborating closely with data analysts, engineers, and business stakeholders. Interns often get hands-on experience with real-world business problems, learn best practices in data management, and may even contribute to process automation or reporting improvements. This role provides a valuable opportunity to develop technical skills, gain exposure to industry-standard BI tools, and understand how data-driven insights influence business strategies.

What is the difference between Intern Business Intelligence Engineer vs Data Analyst Intern?

AspectIntern Business Intelligence EngineerData Analyst Intern
Required SkillsSQL, data modeling, BI tools, basic programmingExcel, SQL, data visualization, statistical analysis
Work EnvironmentDeveloping dashboards, data pipelines, supporting BI solutionsData cleaning, reporting, analyzing datasets
Industry UsageTech, finance, consulting firms with BI teamsMarketing, retail, healthcare sectors

Intern Business Intelligence Engineers focus on building and maintaining BI tools and data pipelines, often requiring knowledge of SQL and data modeling. Data Analyst Interns primarily analyze datasets and create reports using Excel and visualization tools. Both roles are common in data-driven industries but differ in technical scope and responsibilities.

What are the most commonly searched types of Business Intelligence Engineer jobs in Utah?

The most popular types of Business Intelligence Engineer jobs in Utah are:

What cities in Utah are hiring for Intern Business Intelligence Engineer jobs?

Cities in Utah with the most Intern Business Intelligence Engineer job openings:

Infographic showing various Intern Business Intelligence Engineer job openings in Utah as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $36,573 per year, or $17.6 per hour.

Senior Power BI Developer (Senior Specialist, Business Analyst)

L3HHCM20

Salt Lake City, UT

Full-time

Re-posted 16 days ago


Job description

Job Title: Senior Power BI Developer (Senior Specialist, Business Analyst)

Job Code: 40551

Job Location: Salt Lake City, Utah

Job Schedule: 9/80 (employee's work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off)

 

POSITION DESCRIPTION

The Senior Power BI Developer is responsible for architecting, developing, optimizing, and supporting enterprise business intelligence solutions using Microsoft Power BI, Microsoft Fabric, Azure data services, Snowflake, and related technologies. This role partners with business stakeholders, analysts, data engineers, and IT teams to deliver scalable semantic models, dashboards, reports, and analytics solutions that enable data-driven decision-making across the organization.

ESSENTIAL FUNCTIONS

  • Facilitate the collection and definition of requirements for reporting and analytics projects.
  • Translate business requirements into scalable semantic models, dashboards, reports, and technical solutions aligned with enterprise architecture and data strategy.
  • Collaborate with stakeholders to build intuitive, effective, and high-performing reporting solutions.
  • Design and maintain dimensional data models, including fact and dimension tables, relationships, hierarchies, and reusable measures.
  • Develop advanced DAX calculations for KPIs, business rules, time intelligence, and analytical reporting.
  • Build and maintain Power Query / M transformations for data ingestion, cleansing, shaping, and standardization.
  • Develop reporting and analytics solutions using enterprise data platforms including Azure, Azure Data Factory, Snowflake, and other cloud or relational data sources.
  • Partner with data engineering and IT teams to support data integration, orchestration, and pipeline workflows that enable reporting and analytics solutions.
  • Optimize Power BI models, datasets, and reports for performance, scalability, usability, and refresh reliability.
  • Support analytics extensions using Microsoft Fabric and, where appropriate, Python and R.
  • Troubleshoot and resolve data quality, performance, modeling, refresh, and reporting issues.
  • Implement and maintain report security, workspace standards, deployment practices, and technical documentation.
  • Develop ad hoc reports, dashboards, and analytical solutions as needed.
  • Promote Power BI best practices, governance, and enterprise adoption across the organization.
  • Plan, execute, maintain, and successfully deliver assigned projects.

REQUIRED QUALIFICATIONS (ONE OF THE FOLLOWING)

  • Bachelor's Degree and minimum 6 years of prior relevant experience.
  • Graduate Degree and a minimum of 4 years of prior related experience.
  • In lieu of a degree, minimum of 10 years of prior related experience.

 

PREFERRED ADDITIONAL SKILLS

  • Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences.
  • Ability to interface effectively with personnel at all levels of the company, including senior management.
  • Advanced experience with Power BI, DAX, Power Query (M language), SQL, and dimensional data modeling.
  • Strong experience building and optimizing enterprise Power BI semantic models, reports, dashboards, and data transformations.
  • Experience troubleshooting performance, refresh, query, and usability issues in Power BI environments.
  • Experience with Power BI governance, gateways, deployment pipelines, and row-level security.
  • Experience working with enterprise data platforms and cloud data environments such as Azure, Azure Data Factory, and Snowflake.
  • Knowledge of modern BI development practices, including governance, documentation, testing, and deployment.
  • Experience with Microsoft Fabric.
  • Experience with Azure data services, Azure Data Factory pipelines, and Snowflake in support of analytics and reporting solutions.
  • Experience with Python and/or R.
  • Familiarity with Tabular Editor, DAX Studio, Performance Analyzer, or similar tools.

#LI-CD1