Business Data Analyst Internships
Business data analyst internships give university students, recent graduates, and early-career switchers hands-on project experience working with real business data, mentorship from working data analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated in {{top_industries_phrase}}, with Mativ, Intuit, and Siemens among the employers posting roles now.
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Mativ is a global leader in specialty materials headquartered in Alpharetta, Georgia. The Company offers a wide range of critical components and engineered solutions that connect, protect, and purify our world.
LOCATION: Alpharetta, GA
INTERN PROGRAM: May 17, 2027 - August 6, 2027
DESCRIPTION
Mativ is currently searching for a Data Science & Business Intelligence Intern to join our team for Summer 2027. This internship offers talented college students the opportunity to develop their advanced data science skills while supporting Mativ’s strategic objectives.
The Mativ Summer Internship Program is scheduled to run from May 17, 2027, through August 6, 2027. Our paid internship offers a well-rounded experience including meaningful work, a dedicated intern manager, community service, professional development, and more.
RESPONSIBILITIES
- Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front-end environments.
- Develop models to build solutions to tackle real-world business problems.
- Understand software development lifecycle and work in a professional environment.
- Assist with developing a library containing all the features currently engineered.
- Participate in meetings across business and IT to develop business requirements.
- Build networking relationships and receive mentoring from team members and top-level management.
- Communicate findings and project status clearly and professionally through presentations.
- Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high-quality analytics solutions.
- Apply a wide variety of database applications and analytical tools, including SQL, Qlik View and Qlik Sense.
- Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Communicate your analysis findings to product, service, and business managers.
- Learn the existing models developed by the Digital group and help standardize them using pipelines.
- Understand the manufacturing process and common data manipulation tasks.
QUALIFICATIONS
Required:
- Pursuing a bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum GPA 3.0.
- A proficient understanding of Python-based object-oriented programming.
- Experience with software and model engineering concepts such as versioning, model deployment and model retraining.
- Hands-on experience with such Python libraries as scikit-learn, unittest and pytest, Flask and MLflow.
- Understanding of Git workflows and CI/CD.
- Experience creating and editing presentations in PowerPoint.
Competencies:
- Ideal candidates will possess high initiative and drive, with a curiosity to perpetually learn and improve our business.
- Strong analytical, organizational, presentation, and time management skills
- Strong attention to detail.
- High level of discretion when dealing with sensitive information.
- Demonstrated oral and written communication skills.
- Demonstrated ability to multi-task, perform in a fast-paced environment & respond quickly to situational needs as they arise.
- Ability to analyze information to find opportunities, effectively communicate, and work collaboratively in a team setting.
- Desire for continuous development and learning opportunities.
Note: The above statements are intended to describe the general nature and level of work being performed by the incumbent. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of this position.
WHAT WE OFFER
At Mativ, our benefits reflect how much we value and care for each other. We know that employees and their families have unique needs, so our comprehensive benefits offer flexibility, quality, and affordability. Here are just a few of the ways we support your well-being and that of your loved ones:
- Medical, dental and vision insurance
- Consumer-Driven Health Plan (CDHP)
- Preferred Provider Organization (PPO)
- Exclusive Provider Organization (EPO)
- Company-paid basic life insurance and Additional voluntary life coverage
- Paid vacation and competitive personal time off
- 401(k) savings plan with company match
- Employee assistance programs – available 24/7 to you and your family
- Wellness and Work Life Support - career development and educational assistance
ABOUT MATIV
Mativ Holdings, Inc. is a global leader in specialty materials headquartered in Alpharetta, Georgia. The company connects, protects, and purifies the world every day through a wide range of critical components and engineered solutions that solve our customers’ most complex challenges. We manufacture on three continents and generate sales in nearly 100 countries through our family of business-to-business and consumer product brands. The company’s two segments, Filtration & Advanced Materials and Sustainable & Adhesive Solutions, target premium applications across diversified and growing end-markets, from filtration to healthcare to sustainable packaging and more. Our broad portfolio of technologies combines polymers, fibers, and resins to optimize the performance of our customers’ products across multiple stages of the value chain. Our leading positions are a testament to our best-in-class global manufacturing, supply chain, and materials science capabilities. We drive innovation and enhance performance, finding potential in the impossible.
Mativ and its subsidiaries are Equal Opportunity Employers. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Mativ is a global leader in specialty materials headquartered in Alpharetta, Georgia. The Company offers a wide range of critical components and engineered solutions that connect, protect, and purify our world.
LOCATION: Alpharetta, GA
INTERN PROGRAM: May 17, 2027 - August 6, 2027
DESCRIPTION
Mativ is currently searching for a Data Science & Business Intelligence Intern to join our team for Summer 2027. This internship offers talented college students the opportunity to develop their advanced data science skills while supporting Mativ’s strategic objectives.
The Mativ Summer Internship Program is scheduled to run from May 17, 2027, through August 6, 2027. Our paid internship offers a well-rounded experience including meaningful work, a dedicated intern manager, community service, professional development, and more.
RESPONSIBILITIES
- Enable and work with the BI team to build new capabilities in the Azure Cloud Environment and Power BI front-end environments.
- Develop models to build solutions to tackle real-world business problems.
- Understand software development lifecycle and work in a professional environment.
- Assist with developing a library containing all the features currently engineered.
- Participate in meetings across business and IT to develop business requirements.
- Build networking relationships and receive mentoring from team members and top-level management.
- Communicate findings and project status clearly and professionally through presentations.
- Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high-quality analytics solutions.
- Apply a wide variety of database applications and analytical tools, including SQL, Qlik View and Qlik Sense.
- Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Communicate your analysis findings to product, service, and business managers.
- Learn the existing models developed by the Digital group and help standardize them using pipelines.
- Understand the manufacturing process and common data manipulation tasks.
QUALIFICATIONS
Required:
- Pursuing a bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum GPA 3.0.
- A proficient understanding of Python-based object-oriented programming.
- Experience with software and model engineering concepts such as versioning, model deployment and model retraining.
- Hands-on experience with such Python libraries as scikit-learn, unittest and pytest, Flask and MLflow.
- Understanding of Git workflows and CI/CD.
- Experience creating and editing presentations in PowerPoint.
Competencies:
- Ideal candidates will possess high initiative and drive, with a curiosity to perpetually learn and improve our business.
- Strong analytical, organizational, presentation, and time management skills
- Strong attention to detail.
- High level of discretion when dealing with sensitive information.
- Demonstrated oral and written communication skills.
- Demonstrated ability to multi-task, perform in a fast-paced environment & respond quickly to situational needs as they arise.
- Ability to analyze information to find opportunities, effectively communicate, and work collaboratively in a team setting.
- Desire for continuous development and learning opportunities.
Note: The above statements are intended to describe the general nature and level of work being performed by the incumbent. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of this position.
WHAT WE OFFER
At Mativ, our benefits reflect how much we value and care for each other. We know that employees and their families have unique needs, so our comprehensive benefits offer flexibility, quality, and affordability. Here are just a few of the ways we support your well-being and that of your loved ones:
- Medical, dental and vision insurance
- Consumer-Driven Health Plan (CDHP)
- Preferred Provider Organization (PPO)
- Exclusive Provider Organization (EPO)
- Company-paid basic life insurance and Additional voluntary life coverage
- Paid vacation and competitive personal time off
- 401(k) savings plan with company match
- Employee assistance programs – available 24/7 to you and your family
- Wellness and Work Life Support - career development and educational assistance
ABOUT MATIV
Mativ Holdings, Inc. is a global leader in specialty materials headquartered in Alpharetta, Georgia. The company connects, protects, and purifies the world every day through a wide range of critical components and engineered solutions that solve our customers’ most complex challenges. We manufacture on three continents and generate sales in nearly 100 countries through our family of business-to-business and consumer product brands. The company’s two segments, Filtration & Advanced Materials and Sustainable & Adhesive Solutions, target premium applications across diversified and growing end-markets, from filtration to healthcare to sustainable packaging and more. Our broad portfolio of technologies combines polymers, fibers, and resins to optimize the performance of our customers’ products across multiple stages of the value chain. Our leading positions are a testament to our best-in-class global manufacturing, supply chain, and materials science capabilities. We drive innovation and enhance performance, finding potential in the impossible.
Mativ and its subsidiaries are Equal Opportunity Employers. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Business Data Analyst Internship Market
Who's Hiring
Tips for Your Business Data Analyst Internship Search
Start applying months before your target start date
Large employers fill summer business data analyst intern cohorts the preceding fall, meaning a June start date may require an application in August or September of the year before. Smaller companies and co-op programs post closer to start dates, so roles appear year-round. Checking listings regularly rather than waiting for a single season keeps more options in play.
Build a portfolio before you apply
Hiring teams for business data analyst internships expect limited work history and look for something concrete to assess instead. Put two or three complete projects online: cleaned datasets with documented methodology, published dashboards, or written-up analyses that show your tools and reasoning. A linked portfolio gives recruiters a reason to move you forward when your resume is thin on experience.
Work your campus network and apply directly at the same time
Campus fairs surface structured 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 campus activity widens the pool you reach and catches openings that never make it to on-campus events.
Practice your analytics interview out loud before you apply
Business data analyst intern screens typically involve a technical or analytics component: SQL queries, data interpretation exercises, or case-style questions about business problems. Practice answering out loud and explaining your reasoning step by step, since interviewers weigh how you think through ambiguous data situations as much as whether you land the right answer.
Target structured internship programs designed for new entrants
Many larger employers run rotational or cohort-based business data analyst programs built to train people who are new to the field. These programs offer structured mentorship and real project exposure, but they recruit early and fill their first wave fast. Identify the programs that fit your background and submit applications as soon as they open.
Set your work-type filter before you start
On-site roles are 25% of the business data analyst internships listed here. Decide what you can commit to before you start sorting through listings, then filter by location and work type so you're only spending time on roles you can actually take. Applying focused beats applying broadly to positions that don't fit your situation.
Business Data Analyst Internships: Frequently Asked Questions
How do I get a business data analyst internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level and want something concrete to assess. For business data analyst candidates, that artifact is a portfolio of documented analyses: cleaned datasets, dashboards, or case studies showing your tools and reasoning. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a business data analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for business data analyst interns is performance on real deliverables, whether the team has open headcount, and how early you signal interest before the return-offer decision. Position yourself by owning projects visibly and asking about full-time timelines mid-internship, while keeping other applications open in parallel.
When should I apply for business data analyst internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, so applications for June start dates often open in August or September of the year before. Smaller companies and co-op programs post much closer to start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single recruiting season gives you the widest set of options.
Are business data analyst internships paid?
Most professional business data analyst internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show pay where the employer discloses it. Unpaid arrangements are more common at very small organizations or nonprofits, so reading each listing carefully tells you what to expect before you invest time in the application.
What should a business data analyst internship resume include?
Lead with two or three complete, documented projects rather than work history. For business data analyst candidates, the most useful proof is linked analyses, published dashboards, or case studies that show the tools you used and the question you answered. Add relevant coursework in statistics, data visualization, or business intelligence. Keep everything to one page so recruiters can assess your fit quickly.
Are there remote business data analyst internships?
Yes. Remote and hybrid roles make up 75% of the business data analyst internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from every location, so apply early once you find a role that fits. Use the work-type filter to see only the format you can commit to before sorting through listings.
Can international students get business data analyst 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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