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Data Analyst Graduate Intern Jobs in Midvale, UT

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

West Jordan, UT ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Showing results 21-40

Data Analyst Graduate Intern information

See Midvale, UT salary details

$11

$21

$39

How much do data analyst graduate intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analyst graduate intern in Midvale, UT is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.12 per hour, depending on experience, location, and employer.

What does a data analyst graduate intern do?

A Data Analyst Graduate Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They work under the supervision of experienced analysts, using tools like Excel, SQL, and data visualization software to interpret trends, create reports, and present findings. Interns also help in cleaning and organizing raw data, running basic statistical analyses, and supporting the team on various projects. This role provides hands-on experience and exposure to real-world data problems, making it a valuable stepping stone for a career in data analytics.

What skills and qualifications are needed to thrive as a data analyst graduate intern?

To thrive as a Data Analyst Graduate Intern, you need a solid grounding in statistics, data analysis, and familiarity with data visualization, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency with technical tools like Excel, SQL, Python, or R, and experience with analytics platforms such as Tableau or Power BI are commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital for deriving actionable insights from data, presenting findings clearly, and supporting data-driven decision-making processes.

What types of projects and datasets do data analyst graduate interns typically work with?

As a Data Analyst Graduate Intern, you can expect to work on a variety of projects involving real business data, such as sales trends, customer behavior, or operational metrics. Interns often collaborate with senior analysts and cross-functional teams to clean, analyze, and visualize data, helping to inform business decisions. Projects may range from ad-hoc data requests to supporting ongoing business intelligence initiatives, providing exposure to industry-standard tools like SQL, Excel, and data visualization platforms. This hands-on experience is invaluable for building technical skills and understanding how data-driven insights impact organizational strategy.

What is the difference between Data Analyst Graduate Intern vs Data Analyst?

AspectData Analyst Graduate InternData Analyst
QualificationsTypically pursuing or recently completed a degree in data science, statistics, or related fieldUsually holds a degree in a relevant field; may have more experience or certifications
Work EnvironmentInternship setting, often in corporate or tech companies, with supervised tasksFull-time role with more independent responsibilities in data analysis projects
ResponsibilitiesAssisting with data collection, cleaning, and basic analysis under supervisionPerforming data analysis, creating reports, and providing insights independently

The main difference between a Data Analyst Graduate Intern and a Data Analyst lies in experience and responsibility level. Interns are typically in training, assisting with tasks, while Data Analysts are fully responsible for analyzing data and generating insights. Internships serve as a stepping stone toward a full Data Analyst role.

Infographic showing various Data Analyst Graduate Intern job openings in Midvale, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $44,146 per year, or $21.2 per hour.

Intern - Applied AI & Data Science

ARUP

Salt Lake City, UT โ€ข On-site

$20/hr

Internship

Posted 8 days ago


Job description

Schedule:
Duration of Internship: September 14, 2026 - December 14, 2026
Status: Non-benefited
Hours: Less than 29 hours per week
Days: Monday - Friday, flexible based on intern availability

Department: R&I Appl AI & Bioinformatics - 339

The Intern is utilized in various departments. ARUP's culture is one of caring for both the patient and its employees.

About the Supervisor:

Brendan O’Fallon, PhD., is the Bioinformatics Director at ARUP, and oversees the Applied AI (AAI) team.  The team works on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

Internship Description:

Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups.  At the end of the internship the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Internship Goals

  • Develop proficiency with python data analysis tools
  • Refine data visualization skills
  • Become familiar with development of AI (LLM-based) agents
  • Learn basic concepts of laboratory information science

Knowledge, Skills & Techniques Learned from Internship:

Agentic Workflows

Data Science in Laboratory Medicine

LLM validation and QC

Basics of genomics, hematopathology, and/or digital pathology

Data visualization and written communication of scientific concepts

Measurement of New Skills:

Intern will be asked to present project to suitable user group at the end of the internship, including data scientists, MDs, laboratory staff, or other groups as relevant to the project.

About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.