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Data Analytics Internship Jobs in Layton, UT (NOW HIRING)

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Read and analyze published judicial opinions across state and federal jurisdictions. * Review ...

Analyst

Ogden, UT · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

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Data Analytics Internship information

See Layton, UT salary details

$10

$20

$38

How much do data analytics internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics internship in Layton, UT is $20.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $22.26 per hour, depending on experience, location, and employer.

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

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
What job categories do people searching Data Analytics Internship jobs in Layton, UT look for? The top searched job categories for Data Analytics Internship jobs in Layton, UT are:
What cities near Layton, UT are hiring for Data Analytics Internship jobs? Cities near Layton, UT with the most Data Analytics Internship job openings:
Infographic showing various Data Analytics Internship job openings in Layton, UT as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,529 per year, or $20.4 per hour.

Integration Analyst Intern

Jade Global

Ogden, UT

Full-time

Re-posted 19 days ago


Job description

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 supported, and your work truly matters?

At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is aplus, it's not required - what matters most is yourmotivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.

You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.

This is not an internship - it's a full-time opportunity with acompetitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.

We're seeking the next generation ofleaders, problem-solvers, and innovatorsfrom top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.

Ready to build your future with us? Let's get started.

Responsibilities include:

  • Exciting projects involving Boomi or Workato, focusing on building robust integration solutions to support streamlined business processes.

  • Develop and optimize data pipelines, automate workflows, and enable seamless connectivity between various systems.

  • Create AI Agents to solve complex business challenges.


Candidate Profile:

  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field

  • Strong Python programming skills

  • Understanding of ML algorithms like linear regression, classification, clustering, etc.

  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch

  • Good understanding of data structures and algorithm

  • Desire to learn

  • Strong analytical thinking and problem-solving and analytical skills.

  • Independent person able to manage self and activities within a schedule

  • Able to facilitate conversations and drive decisions

  • Passionate

  • Creative thinker

  • Takes initiative and ownership

  • Strong team player

  • Strong communicator

  • Interest in learning and growing both technically and as a person

  • Exposure to NLP, Computer Vision, or Generative AI is a plus

  • Experience with Jupyter Notebooks and Git is a plus

  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus


What You'll Gain:

  • Mentoring and learning from AI/ML professionals

  • Collaborative and innovation-driven environment

  • Strong understanding of customer integration needs

  • Ability to translate customer requirements into visible results through leading edge technology

  • Deep understanding of proven integration tools

  • Career growth opportunities within the Data & AI team