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Data Analyst Intern Jobs in Utah (NOW HIRING)

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management ...

Data Analyst

Ogden, UT ยท On-site

$70 - $100/hr

Data Analyst HydroJug, Inc. -- Ogden, UT (On-Site) | Systems About the Role The Data Analyst -- Operations is the dedicated analytics resource for HydroJug's Operations and Warehouse teams. You will ...

Data Analyst

Salt Lake City, UT ยท On-site

$60 - $85/hr

Data Science and Analytics** **MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data ...

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements : * Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Showing results 21-40

Data Analyst Intern information

See Utah salary details

$10

$20

$38

How much do data analyst intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analyst 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 does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

What are the key skills and qualifications needed to thrive as a data analyst intern, and why are they important?

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Utah?

The most popular types of Data Analyst jobs in Utah are:

What cities in Utah are hiring for Data Analyst Intern jobs?

Cities in Utah with the most Data Analyst Intern job openings:

Infographic showing various Data Analyst Intern job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $42,614 per year, or $20.5 per hour.

Data Analyst

Omnicom

Salt Lake City, UT โ€ข On-site

Full-time

Re-posted 10 days ago


Key responsibilities

  • Handle routine reporting and presenting, primarily bi-weekly and quarterly reports.

  • Manage ad-hoc analytics questions and requests in a timely manner.

  • Assist in website analytics initiatives, including website tag implementation and running custom analytics reports.


Job description

Agency:
Omnicom Precision Marketing
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities with creative excellence and performance capabilities, enabling Omnicom to deliver intelligent activation across the full funnel with data-driven decisioning at scale to help clients move faster and deliver more connected customer experiences.
MRM is a modern relationship marketing agency dedicated to building enduring brand relationships. MRM's specialized capabilities drive relationship lifetime value and span CRM, Customer Experience, and Commerce with data and martech at the core. MRM operates in a borderless, integrated way to enable greater collaboration, creativity, and true speed to market. For more information, please visit www.mrm.com.
MRM is looking for a Data Analyst. The ideal candidate must be able to proactively communicate ideas and opportunities, as well as conduct in depth analysis to support client recommendations and insights. The candidate should have a solid background in measurement and performance analytics, with an openness to learn and expand skills.
Responsibilities:
- Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports).
- Manage ad-hoc analytics questions & requests in a timely fashion.
- Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query.
- Create custom analytics dashboards in Tableau, PowerBI or similar tools.
- Assist in report automation.
- Assist in campaign planning and performance analysis.
Education and Experience:
(You don't have to be an expert in any of these, but we are looking for someone with a basic understanding and a willingness to learn / grow these skills):
- Bachelor's degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years' professional experience.
- Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their programming skills.
- Basic SQL capabilities: joining tables, using 'group by' clauses, case statements.
- Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them.
- Knowledge or experience working within Google Tag Manager or Google Analytics.
- Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn, ggplot etc).
- Basic to intermediate skills in Excel: Pivot tables, etc.
- Strong communication skills, both written and verbal.
- Comfortable working independently (once properly on-boarded).
- Comfortable working in a fast-paced, cross-functional environment.
Preferred, but not required:
- Interest or background in machine learning / predictive modelling.
- Knowledge or experience working with Firebase.
- Experience working with scientific polling data-bonus if applicant has experience with large .sav files and either SPSS / pyreadstat.
- Experience with automated data collection (web scraping, APIs).
- Experience writing VBA macros a plus.
- Experienced and comfortable collaborating remotely.
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.