1

Data Intelligence Intern Jobs in Colorado (NOW HIRING)

Analytics Engineering Intern

Denver, CO ยท On-site

$17.25 - $22.50/hr

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about ... Interest in data analysis, business intelligence, or analytics consulting. * Strong analytical ...

Analytics Engineering Intern

Denver, CO ยท On-site

$17.25 - $22.50/hr

Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate ... Interest in data analysis, business intelligence, or analytics consulting. * Strong analytical ...

... intelligence. We collaborate closely with one of the top medical schools in the country and have ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

... intelligence. We collaborate closely with one of the top medical schools in the country and have ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

... intelligence. We collaborate closely with one of the top medical schools in the country and have ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Showing results 21-40

Data Intelligence Intern information

What does a Data Intelligence Intern do?

A Data Intelligence Intern supports a company's data-driven decision making by collecting, analyzing, and interpreting large sets of data. Their responsibilities often include cleaning data, building reports or dashboards, and assisting with data modeling or visualization projects. Interns typically use tools like Excel, SQL, Python, or data visualization software under the guidance of experienced data professionals. This role is designed to help interns gain practical experience in data analysis and business intelligence, preparing them for future roles in data science or analytics.

What types of projects can a Data Intelligence Intern expect to work on, and how do these contribute to the team's goals?

As a Data Intelligence Intern, you will typically work on projects involving data collection, cleaning, analysis, and visualization to support business decision-making. These projects may include building dashboards, automating data pipelines, or assisting with predictive modeling under the guidance of senior analysts or data scientists. Your contributions help the team uncover actionable insights from large datasets, improve data quality, and streamline reporting. Collaboration is common, so you'll often work closely with team members from analytics, engineering, and business departments, gaining exposure to a variety of tools and methods.

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

To thrive as a Data Intelligence Intern, you need a solid grounding in data analysis, statistics, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and basic knowledge of machine learning concepts is typically expected. Strong analytical thinking, attention to detail, and effective communication skills set exceptional candidates apart. These skills and qualities are crucial for extracting actionable insights from data and supporting informed decision-making within the organization.

What cities in Colorado are hiring for Data Intelligence Intern jobs?

Cities in Colorado with the most Data Intelligence Intern job openings:

Infographic showing various Data Intelligence Intern job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Analytics Engineering Intern

Denver, CO โ€ข On-site

$17.25 - $22.50/hr

Full-time

Re-posted 2 days ago


Job description

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.
Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.