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Data Analyst Intern Jobs in Utah (NOW HIRING)

Lucid Software

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Lucid Software

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Overstock

Data Analyst - IC 2

Salt Lake City, UT

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key business problems, investigating new opportunities, redesigning existing processes, and enhancing ...

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Data Analyst Intern information

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How much do data analyst intern jobs pay per hour?

As of Aug 10, 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 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.

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 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.

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 are the most commonly searched types of Data Analyst jobs in Utah? The most popular types of Data Analyst jobs in Utah are:
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Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $42,614 per year, or $20.5 per hour.

Sr. Data Analyst

Lucid Software

Salt Lake City, UT • On-site, Remote

$83K - $105K/yr

Full-time

Posted 21 days ago

Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

In today's tech environment, strategic thinking must be paired with strong analytical skills. As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting results, and driving change. This role is designed for candidates who have already honed their technical skills working with data and are ready to take their careers to the next level.

Analysts on the Strategy & Analytics team support groups across the whole business, allowing you to see multiple sides of the business and expand your knowledge and experience. These groups include Marketing, Demand Generation, Sales Operations, Customer Experience, Product, and Strategy. The tool sets developed and used are similar across these functions, but each presents domain-specific challenges that will provide unique opportunities for learning.

Some examples of past projects from our team include creating a customer health score to highlight at-risk accounts, identifying opportunities to accelerate product adoption at enterprise companies, creating tools to automate the analysis of A/B tests, finding ways to increase collaboration and virality of our product, and building dashboards to help sales reps target high-potential accounts.

Although your day-to-day work will be with the function to which you are assigned, you will be well-supported by the rest of the Strategy & Analytics team. While we are distributed throughout the company, we maintain close ties by holding weekly team trainings, daily working sessions, and regular team activities. We help each other whenever possible, and with the collective efforts of the full team, there's rarely a question we can't answer.

Responsibilities:

  • Work with senior leaders and other stakeholders within various departments at Lucid
  • Identify and understand problems and opportunities
  • Come up with data-driven recommendations
  • Implement new initiatives that help grow the business
  • Other duties as assigned

Requirements:

  • Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field
  • 4+ years professional experience 
  • Proficient with SQL
  • Strong understanding of statistics and hypothesis testing
  • Great communication skills, both written and verbal
  • Able to think strategically and tackle open-ended problems
  • Detail-oriented, organized, and a good team player

Preferred Qualifications:

  • Passion for problem-solving - If you've ever been so absorbed in a problem that your mind couldn't rest until you figured it out, you'll be in good company.
  • Willing to help and be helped - Our impact comes only through helping others make better decisions using data. We recognize that we're stronger together - there's no shame in asking for help, we're not afraid to say "I don't know", and we actively seek feedback.
  • Desire to learn - You'll often be answering questions that have never been answered before, which requires a high level of intellectual curiosity and an eagerness to dive into new problems, domains, tools, and techniques.

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