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Data Analytics Intern Jobs in Utah (NOW HIRING)

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is ...

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is ...

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

Logan, UT · 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 ...

Power BI Intern

Orem, UT · 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 ...

Power BI Intern

Ogden, UT · 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 ...

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Data Analytics Intern information

See Utah salary details

$10

$20

$38

How much do data analytics intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data analytics intern in Utah is $20.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Utah? The most popular types of Data Analytics jobs in Utah are:
What are popular job titles related to Data Analytics Intern jobs in Utah? For Data Analytics Intern jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Analytics Intern jobs? Cities in Utah with the most Data Analytics Intern job openings:
Infographic showing various Data Analytics Intern job openings in Utah as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $42,614 per year, or $20.5 per hour.
Data Engineering and Business Intelligence Intern

Data Engineering and Business Intelligence Intern

Clyde Companies Inc.

Orem, UT

Part-time

Re-posted 21 days ago


Clyde Companies rating

8.3

Company rating: 8.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Overview

Description


We are seeking a motivated and eager Data Engineering and Business Intelligence Intern to join our team. This internship is an excellent opportunity for individuals looking to gain hands-on experience in data engineering and business intelligence using the tools found in Microsoft Fabric. These tools include Data Factory, Data Activator, Synapse Data Warehouse, Synapse Data Engineering, Synapse Data Science, Synapse Real-Time Analytics, and Power BI. The intern will work as part of a development team to complete tasks with mentoring and supervision.

Responsibilities


  • Assist in the design, development, and maintenance of data pipelines and ETL processes.
  • Collaborate with data engineers and analysts to gather requirements and ensure data quality and integrity.
  • Support the creation and optimization of data models for business intelligence and analytics.
  • Develop and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI).
  • Perform data analysis to identify trends, patterns, and insights that drive business decisions.
  • Participate in code reviews and contribute to the improvement of data engineering practices.
  • Document processes, workflows, and data dictionaries.

Qualifications


  • Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related field.
  • Strong understanding of SQL and experience with relational databases.
  • Familiarity with data warehousing concepts and ETL processes.
  • Experience with BI tools such as Tableau, Power BI, or similar.
  • Proficiency in at least one programming language (e.g., Python, Java).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

What We Offer


  • Hands-on experience with real-world data engineering and BI projects.
  • Mentorship from experienced professionals in the field.
  • Opportunity to work in a collaborative and innovative environment.
  • Potential for future full-time employment based on performance.

What Clyde Companies employees say

Pay

Benefits

Hours and flexibility

Workplace

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