Data Analytics Engineer Internships
Data analytics engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, 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.
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 Engineer 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 Engineer Internship Search
Apply before the recruitment window closes
Large employers, including major tech companies and financial institutions, open summer internship applications the preceding fall and close them months before the start date. Smaller companies and co-op programs post closer to their actual start dates. Check listings consistently from early fall onward rather than waiting until spring.
Build a project portfolio before you apply
Hiring teams for data analytics engineer internships assess candidates on real artifacts, not work history. Publish two or three end-to-end projects on GitHub, document your SQL queries and Python scripts, and include at least one dashboard or analysis you can walk an interviewer through. A portfolio gives recruiters something concrete to evaluate when your resume is light on experience.
Work your campus network and apply directly at the same time
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. Applying directly to companies running smaller cohorts alongside that campus activity widens the pool you reach and catches openings that never appear at a fair.
Practice the analytics interview screen before applying
Data analytics engineer intern screens typically combine a technical component, such as a SQL or Python coding challenge, with questions on data modeling or pipeline design. Practice explaining your reasoning out loud as you work through problems, since interviewers weigh how you approach a question as much as the final answer. Timed mock sessions with a partner help more than solo review.
Target structured internship programs at larger companies
Many large employers run dedicated analytics or data engineering rotational programs designed to train people new to the field. These cohort programs offer structured mentorship, cross-team exposure, and clear conversion pathways, but they recruit early and fill fast. Identify the programs that match your background, add them to your target list, and apply in the first application wave.
Set your work-type filter before you start searching
On-site roles are 25% of the data analytics engineer internships listed here. Decide what you can realistically commit to before you start reviewing openings, then filter by location and work type on Migrate Mate so you're not spending time on roles that don't fit your situation. Locking in that filter first makes the rest of your search faster and more focused.
Data Analytics Engineer Internships: Frequently Asked Questions
How do I get a data analytics engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio that gives recruiters something concrete to assess, such as linked GitHub repositories, published dashboards, or documented analyses showing your SQL, Python, and data pipeline work. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data analytics engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for data analytics engineer interns is consistent performance on real project work, available headcount on the team, and whether the employer runs a structured conversion process. Position yourself by delivering on your assigned scope and communicating your interest early, without counting on it as a certainty.
When should I apply for data analytics engineer internships?
Earlier than most candidates expect. Large tech and finance employers recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies, startups, and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruitment season gives you a wider window of opportunities.
Are data analytics engineer internships paid?
Most professional data analytics engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and specific figures are not universal. Where an employer discloses pay, it appears directly in the listing, so reviewing postings individually is the most reliable way to understand what a given role offers.
What should a data analytics engineer internship resume include?
Lead with two or three complete, documented projects that show the tools you used and link to the actual work, such as a GitHub repository with clean SQL and Python code, a published Tableau or Looker dashboard, or a written case study walking through a data pipeline you built. Add relevant coursework in statistics, databases, or data engineering, and keep the whole document to one page.
Are there remote data analytics engineer internships?
Yes. Remote and hybrid roles make up 75% of the data analytics engineer internship listings here, with the rest on-site. Remote cohorts tend to fill quickly because they attract applicants from across the country, so apply early once you decide remote is workable for you, and use the work-type filter to surface those roles without sorting through positions you cannot take.
Can international students get data analytics engineer 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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