Data And Analytics Internships
Data and analytics internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings cover Energy, Technology & Software, and Retail, with American Express, Wipfli, and Ankura among the employers posting roles now.
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Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.
What You’ll Work On
You’ll collaborate with experienced modelers and analysts on projects such as:
Modeling & Geospatial Analysis
Learn to use modeling software to evaluate catastrophe risk.
Run analyses and identify high-risk catastrophe regions.
SQL & Data Engineering
Update and maintain databases, tables, queries and processes in SQL.
Review, update and maintain data engineering code in Python.
Consolidate and clean up redundant reference tables across multiple databases.
Visualization & Reporting
Create Tableau/Power BI dashboards.
Map wildfire, hurricane, convective storm, and earthquake events for visual insights.
Process Optimization
Help streamline repeatable modeling processes.
Learn and apply Python for automation and data prep tasks.
Collaborate with teams to share tools and insights.
What We’re Looking For
Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.
Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.
Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.
Business Unit:
ReinsuranceBenefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
Excludes seasonal employees and interns.
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.
What You’ll Work On
You’ll collaborate with experienced modelers and analysts on projects such as:
Modeling & Geospatial Analysis
Learn to use modeling software to evaluate catastrophe risk.
Run analyses and identify high-risk catastrophe regions.
SQL & Data Engineering
Update and maintain databases, tables, queries and processes in SQL.
Review, update and maintain data engineering code in Python.
Consolidate and clean up redundant reference tables across multiple databases.
Visualization & Reporting
Create Tableau/Power BI dashboards.
Map wildfire, hurricane, convective storm, and earthquake events for visual insights.
Process Optimization
Help streamline repeatable modeling processes.
Learn and apply Python for automation and data prep tasks.
Collaborate with teams to share tools and insights.
What We’re Looking For
Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.
Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.
Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.
Business Unit:
ReinsuranceBenefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
Excludes seasonal employees and interns.
Data And Analytics Internship Market
Who's Hiring
- American Express10
- Wipfli4
- Ankura3
- EmblemHealth3
- The Cigna3
Top Industries Hiring
- Energy
- Technology & Software
- Retail
- Electronics & Hardware
Tips for Your Data And Analytics Internship Search
Apply for summer roles in the fall
Large employers open data and analytics internship applications in August and September for cohorts starting the following May or June. Waiting until spring means competing for a much smaller pool of late-posted roles. Set a reminder to check postings as soon as a new academic year begins.
Build a portfolio before you apply
Recruiters screening data and analytics intern candidates want something concrete to assess. Two or three documented projects, a cleaned dataset with analysis on GitHub, a published SQL case study, or a Tableau dashboard, give them that. Coursework alone rarely differentiates candidates at the intern level.
Work your campus network and apply directly
Campus career fairs surface structured internship programs tied to your university, and career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts that don't recruit on campus, both channels together widen the roles you can reach.
Practice your technical screen out loud
Data and analytics intern interviews typically involve a SQL or Python coding screen, a case study using a real dataset, or a statistics and probability walkthrough. Interviewers weigh how you explain your reasoning as much as whether you reach the right answer, so practice talking through your approach before you sit in the actual screen.
Target rotational and cohort programs early
Many larger companies run structured rotational or university internship programs designed to train people entering data and analytics for the first time. These programs recruit months before general postings go live and fill their cohorts fast. Identify the programs that match your background and submit in the first application window.
Set your work-type filter before you start
On-site roles are 25% of the data and analytics internships listed here. Decide whether you can relocate, commute, or need remote flexibility before you open applications. Filtering by location and work type on Migrate Mate first means you spend your time on roles you can actually accept.
Data And Analytics Internships: Frequently Asked Questions
How do I get a data and analytics internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level, and a linked GitHub repository or published analysis gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data and analytics 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 and analytics interns is consistent performance on real deliverables, available headcount on the team, and how early in your internship you signal interest. Position yourself by doing the work well without counting on the offer.
When should I apply for data and analytics internships?
Earlier than most candidates expect. Large employers recruit for summer cohorts the preceding fall, meaning applications open in August or September for a placement the following June. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round and the cycle is not limited to one recruiting season.
Are data and analytics internships paid?
Most professional data and analytics internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid arrangements are less common in technical fields and are more often found in nonprofit or research settings.
What should a data and analytics internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used and link to where the work lives, a GitHub repository, a published analysis, or a Kaggle notebook. Add relevant coursework in statistics, SQL, Python, or visualization tools. Keep the whole thing to one page.
Are there remote data and analytics internships?
Yes. Remote and hybrid roles make up 75% of the data and analytics internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract a national applicant pool, so apply early and filter by work type to see them before they close.
What is a data analytics rotational internship?
Rotational internship programs place you on two or three different teams within a company over the course of one summer or semester, giving you exposure to areas like business intelligence, data engineering, and product analytics in a single program. They target people new to the field, recruit early in the fall, and are competitive, apply in the first wave.
Can international students get data and analytics 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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