1

Data Analysis Intern Jobs in Provo, UT (NOW HIRING)

Provide analysis supporting campaigns, events, and initiatives.  * Execute analytic projects to support company growth and retention strategies.  * Support data quality efforts by flagging ...

Enterprise Intern

Sandy, UT · Hybrid

$16 - $20.75/hr

We are seeking a detail-oriented Enterprise Intern to support a six-month initiative focused on ... Data Analytics, or a related field. * Strong attention to detail and organizational skills.

Showing results 21-40

Data Analysis Intern information

See Provo, UT salary details

$11

$21

$39

How much do data analysis intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analysis intern in Provo, UT is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.17 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

What are the most commonly searched types of Data Analysis jobs in Provo, UT?

The most popular types of Data Analysis jobs in Provo, UT are:

What job categories do people searching Data Analysis Intern jobs in Provo, UT look for?

The top searched job categories for Data Analysis Intern jobs in Provo, UT are:

What cities near Provo, UT are hiring for Data Analysis Intern jobs?

Cities near Provo, UT with the most Data Analysis Intern job openings:

Infographic showing various Data Analysis Intern job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,280 per year, or $21.3 per hour.

Data Analyst

Young Living Essential Oils

Lehi, UT • On-site

Full-time

Posted 8 days ago


Job description

Summary: 

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops executive-ready reports and dashboards, and plays a key role in interpreting key performance indicators (KPIs) to influence business outcomes.  
 

Essential Functions: 

  • Analyze structured and unstructured data using Excel and SQL to support decisions across marketing, sales, and operations. Create presentations, graphics, and reports summarizing key insights.  
  • Understand and apply knowledge of company metrics, sales drivers, and KPIs.  
  • Provide analysis supporting campaigns, events, and initiatives.  
  • Execute analytic projects to support company growth and retention strategies.  
  • Support data quality efforts by flagging inconsistencies and helping document known issues.  
  • Conduct moderately complex analyses such as correlation, trend forecasting, and variance analysis to inform strategy.  
  • Design, build, and maintain recurring dashboards or self-service tools using BI platforms. 
  • Extract, transform, validate, and analyze data from multiple systems to ensure consistency and usability. Present findings to upper management using well-structured reports and visuals. 
  • Provide actionable insights related to company KPIs, trends, and initiatives. 
  • Collaborate across departments to support strategic data needs. 
  • Develop tools to facilitate business users’ own analysis through AI tools 

Skills & Qualifications: 

  • Proficiency in Excel and intermediate SQL. 
  • Strong critical thinking and problem-solving skills. 
  • Experience with business intelligence tools and dashboards. 
  • Strong presentation and storytelling abilities. 
  • Knowledge of sales and marketing metrics and their influence on business outcomes. 
  • Experience with agentic AI tools 

Required Education and Experience: 

  • 3–5 years of experience in business analytics or a related quantitative role.  
  • A combination of education and experience may meet this requirement. 

Preferred Education and Experience: 

  • Bachelor’s degree in Business, Statistics, Computer Science, Information Technology, Engineering, Accounting, or related field. 

Supervisory Responsibility: 

This job does not have supervisory responsibilities. 


Work Environment: 

This job operates in a professional office environment. The role routinely uses standard office equipment such as a laptop, desktop, smartphone, and photocopiers. The noise level in the work environment is usually moderate. Essential oils are worn and/or diffused in the work environment. 


Position Type/Expected Hours of Work: 

This position requires the incumbent to be physically present at the assigned worksite. The regular schedule is from 8 a.m. to 5 p.m., with an hour lunch, Monday through Friday. Occasional evening and weekend work may be required as job duties demand. Employees are also expected to work at least one non-convention farm event a year and to work at the annual company convention. 

 Exact hour requirements can be reasonably modified as necessary for the business needs by the employee’s manager.

Physical Demands: 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Specific vision abilities of this job include close vision and the ability to adjust focus. The employee is required to type, file, and occasionally lift office supplies up to 20 pounds. The employee must be physically able to tolerate the scent of essential oils worn or diffused. 


Equal Employment Opportunity: 

Young Living is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran status and will not be discriminated against on the basis of disability. 


Sponsorship: 

Young Living does not provide visa sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis. 


Note: 

This job description is not intended to be all-inclusive. Employees may perform other related duties as needed to meet the ongoing needs of the organization.