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Data Analytics Internship Jobs in Colorado (NOW HIRING)

Candidates with a highly analytical mindset and exposure to relevant college programs, coursework, or internships in business analysis, finance, data analytics, or related fields are highly preferred.

Candidates with a highly analytical mindset and exposure to relevant college programs, coursework, or internships in business analysis, finance, data analytics, or related fields are highly preferred.

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Data Analytics Internship information

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$12

$23

$44

How much do data analytics internship jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analytics internship in Colorado is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 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 type of internship can I get for data analyst?

A data analytics internship typically involves working with data analysis tools like Excel, SQL, or Python to support business decision-making. Interns often assist with data collection, cleaning, visualization, and reporting, gaining practical experience in data-driven environments. These internships are usually offered by companies across various industries and may require basic knowledge of statistics and data tools.

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

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 are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in the field of data analytics and finance.

Can I do a data analyst internship?

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

What would a data analyst intern do?

A data analyst 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 help prepare reports or visualizations under supervision.

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 are the most commonly searched types of Data Analytics jobs in Colorado? The most popular types of Data Analytics jobs in Colorado are:
What are popular job titles related to Data Analytics Internship jobs in Colorado? For Data Analytics Internship jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Analytics Internship jobs? Cities in Colorado with the most Data Analytics Internship job openings:

Graduate (Summer Intern) -Data Center Modeler for Power System Study

Nrel

Golden, CO

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 hours ago


Job description

Posting TitleGraduate (Summer Intern) -Data Center Modeler for Power System Study

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LocationCO - Golden

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Grid Automation and Control Group within the Power Systems Engineering Center (PSEC) at NLR is seeking an exceptional graduate to support cutting-edge research in modeling and simulation of modern power grids, particularly as the electric grid undergoes rapid transformation driven by the explosive growth of large data centers.

The successful candidate will contribute to advanced projects on data center electrical modeling, EMT/phasor simulation, and stability analysis. We are looking for a highly motivated individual with strong expertise in inverter-based resource (IBR) modeling and power-system dynamics who is passionate about addressing emerging reliability challenges in future high-load, high-IBR grids. This role is ideal for candidates who enjoy solving complex problems at the intersection of large loads and modern grid stability.

Job duties and responsibilities include:

  • Develop phasor-domain/EMT models for hyperscale data centers to support large-scale power system planning and operational studies
  • Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE, PSLF, DIgSILENT PowerFactory, PSCAD)
  • Document results through high-quality reports, presentations, and briefings for internal teams, DOE sponsors, and external partners
  • Publish research findings in peer-reviewed journals, IEEE transactions, conference proceedings, and NREL technical reports
  • Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
  • Proficiency with power system simulation tools in Phasor-domain (e.g.,PSSE, PSLF, Powerworld, etc., PSCAD or EMTP experience a plus)
  • Strong understanding of inverter-based resource(IBR) integration challenges, and power system stability concepts

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Experience with parameter identification for dynamic electrical devices
  • Strong understanding of small-signal, transient, and voltage stability
  • Hands-on experience developing user-defined dynamic models of IBRs in PSSE or PSLF
  • Experience in modeling and simulation of inverter-based resources (IBRs) and stability analysis of high-IBR-dominated power systems
  • Experience with data center modeling
  • Hands-on experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus
  • Experience with software development in Python, C++, or other programming languages
  • Strong analytical skills with the ability to process, interpret, and present technical results clearly
  • Excellent written and verbal communication skills
Preferred Qualifications

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.