Data Analytics Specialist Internships
Data analytics specialist internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated in Energy, Technology & Software, and Electronics & Hardware, with American Express, Wipfli, and Ankura among the employers posting roles now.
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Job Category:
Human ResourcesProgram Overview and Benefits : Republic Airways is proud to offer an internship program that prepares students for the workforce. While we provide resources to help interns sharpen skills and make meaningful contributions in their department, we also provide the following during the internships:
Mentorship program
Ability to shadow various departments
Professional development workshops and departmental information sessions
Direct exposure to aviation industry, facilities tours, etc.
Additional opportunities to work with other interns directly on projects
Relocation assistance provided, if applicable
Competitive hourly pay
ESSENTIAL DUTIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Analyzes business and operational data to identify trends, generate insights, and communicate findings through reports, dashboards, and visualizations.
Supports the end-to-end analytics lifecycle, including requirements gathering, development, testing, validation, and delivery of data products.
Develops and maintains automated data pipelines, data transformations, and Power BI dashboards to improve reporting efficiency and scalability.
Supports the finance team's delivery of monthly and ad-hoc financial and operations reporting
Delivers high-quality work in a collaborative environment using agile practices, version control systems, documentation standards, and project management tools.
Performs other duties as assigned
PREFERRED SKILLS AND EXPERIENCE
Advanced Microsoft Office skills; specifically, Excel
Familiarity with Tableau or Microsoft Power BI
Proficient in data wrangling and transformation techniques using SQL and related tools.
Programming skills in R or Python
Knowledge of advanced statistical methods and machine learning techniques
Familiarity with corporate financial statements and basic accounting methods
Experience with code repository tools and agile development methodology
EDUCATION
Pursuing a bachelor’s degree (B.A. / B.S.) in Data Science, Computer Science, Statistics or related area.
Minimum 3.0 GPA on a 4.0 scale
Demonstrates teamwork and collaboration skills
Strong communication skills including the ability to translate and generalize technical jargon
Appetite to continually learn new skills, methods and technologies
OTHER QUALIFICATIONS
Ability to work onsite at our Carmel Headquarters location, unless otherwise directed by hiring manager
Ability to work up to 40 hours per week with a minimum of 20 hours for spring and fall interns
Eligible to work in the United States without sponsorship
LANGUAGE SKILLS
Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents . Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community . Ability to effectively present information to top management, public groups, and/or boards of directors.
REASONING/PROBLEM SOLVING ABILITY
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables . Able to read and interpret technical, regulatory and contractual documentation . Able to maintain confidentiality.
DECISION MAKING
Makes day to day decisions used to support strategic direction . Decisions often require some thought without established precedents or procedures . Decisions tend to be short term and usually of moderate cost . Able to work independently or as part of a team to drive results.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job.
Able to move about the work environment .
F requently required to stand, walk, sit, talk and hear.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job.
Typically not exposed to extreme environmental conditions.
EQUAL OPPORTUNITY EMPLOYER, DISABILITY, AND VETERAN ACCOMODATIONS
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Equal Opportunity Employer, Disability and Veteran Accommodations
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Data Analytics Specialist Internship Market
Who's Hiring
- American Express10

- Wipfli4

- Ankura3

- EmblemHealth3

- The Cigna3

Top Industries Hiring
- Energy
- Technology & Software
- Electronics & Hardware
- Retail
- Consulting & Professional Services
Tips for Your Data Analytics Specialist Internship Search
Apply before the recruiting season peaks
Large employers in finance, consulting, and tech open summer internship applications the preceding fall, and cohorts fill well before spring. Smaller companies and co-op programs post closer to start dates, so roles appear throughout the year. Setting up alerts and checking listings in September gives you a meaningful head start on the most competitive programs.
Build a portfolio before you need one
Hiring teams assess data analytics specialist interns on demonstrated work, not work history. Complete two or three projects that show the full analysis cycle, document your methodology, and publish them to a linked GitHub repository or a public dashboard. Recruiters screening intern applications look for something concrete to review, and a portfolio is what separates comparable candidates.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. At the same time, applying directly to companies running smaller cohorts widens the pool you reach beyond what any single fair covers. Both channels work, and the strongest candidates use both.
Practice the technical screen out loud before you apply
Data analytics specialist intern interviews typically include a technical or analytics screen covering SQL, data manipulation, and sometimes a take-home or live case requiring you to interpret findings and explain your reasoning. Practice solving problems verbally, not just on paper, because interviewers weigh how you think through ambiguity as much as whether you reach the right answer.
Target structured cohort programs early in your search
Many larger employers run formal analytics rotational or university programs designed to train people entering the field, and these programs recruit in the first wave of the hiring season. Identify the ones that match your background, check their application windows as early as August, and submit in the initial round because structured programs tend to fill their cohorts quickly and rarely reopen.
Set your work-type filter before you start
On-site roles are 25% of the data analytics specialist internships listed here. Decide what you can realistically commit to before you start reviewing openings, then filter by location and work type so you are not sorting through roles you cannot accept. Applying to every listing regardless of location wastes time and delays reaching the roles that actually fit your situation.
Data Analytics Specialist Internships: Frequently Asked Questions
How do I get a data analytics specialist internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited professional experience at the intern level. A portfolio of documented analyses, linked code repositories, or published dashboards gives recruiters something concrete to assess. Applying directly to companies works well, and campus career fairs are worth prioritizing because recruiters often move faster with students they meet in person.
Can a data analytics specialist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it most is performance on real project deliverables, available headcount on the team at offer time, and engaging your manager about return-offer timelines before the internship ends. Treat conversion as a possibility worth working toward rather than an outcome you can count on from day one.
When should I apply for data analytics specialist internships?
Earlier than most candidates expect. Large employers, especially in finance, consulting, and tech, recruit summer interns during the preceding fall semester, sometimes as early as August or September. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking frequently and applying as soon as a role appears gives you the strongest position.
Are data analytics specialist internships paid?
Most professional data analytics specialist internships in the United States are paid. Compensation varies by company size, industry, and location, and listings display pay ranges where the employer chooses to disclose them. Unpaid arrangements are uncommon at established companies and rare at larger organizations, though they do appear at some nonprofits and early-stage startups.
What should a data analytics specialist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used, the question you answered, and where reviewers can see the work, such as a linked GitHub repository, a published analysis, or a case study writeup. Add relevant coursework beneath that, keep everything to one page, and save space for a concise skills section listing the analytics tools and languages you have used.
Are there remote data analytics specialist internships?
Yes. Remote and hybrid roles make up 75% of the data analytics specialist internship listings here, with the rest on-site. Remote cohorts attract strong competition and tend to fill quickly, so applying early matters. Filter by work type before you start so you are only reviewing roles that match where you can actually work.
Can international students get data analytics specialist internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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