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Internship R Programming Language Jobs in Salt Lake City, UT

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue ... Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue ... Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ...

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Leading, mentoring, and growing a global team of software engineers and Forward Deployed Engineers ... language models, or workflow automation solutions * Strong understanding of modern software ...

Project Engineer - Healthcare Construction

Sandy, UT

$65K - $84K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... comparable internship experience, preferred. * Good written and oral communication skills ... Demonstrates poise and mastery of language. Expresses ideas clearly in writing. Uses proper ...

Showing results 41-60

Internship R Programming Language information

See Salt Lake City, UT salary details

$8

$16

$23

How much do internship r programming language jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship r programming language in Salt Lake City, UT is $16.75, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.61 per hour, depending on experience, location, and employer.

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What types of projects or tasks can I expect to work on during an R programming language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are popular job titles related to Internship R Programming Language jobs in Salt Lake City, UT?

For Internship R Programming Language jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Internship R Programming Language jobs in Salt Lake City, UT look for?

The top searched job categories for Internship R Programming Language jobs in Salt Lake City, UT are:

Infographic showing various Internship R Programming Language job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $34,832 per year, or $16.7 per hour.

Senior Power BI Developer (Senior Specialist, Business Analyst)

L3HHCM20

Salt Lake City, UT

Full-time

Re-posted yesterday


Job description

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

Job Code: 40554

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.

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