Data, Analytics & AI Internships, Summer 2027

Discover Your Future with Inmar Intelligence: Where Potential Meets Purpose

For more than 45 years, Inmar Intelligence has helped some of the world’s leading brands, retailers, and healthcare organizations solve complex challenges through data, technology, and innovation. Our work has a meaningful impact on everyday life — from helping consumers save money to making healthcare safer and more efficient and helping businesses operate smarter.

Behind that work are people who are curious, collaborative, and motivated to make things better. At Inmar, our High Challenge, High Support culture creates an environment where people are encouraged to stretch their thinking, take on meaningful challenges, and grow — with the support and partnership to succeed.

Where Potential Meets Purpose comes to life through the opportunities our interns have to learn, contribute, and grow. You bring your curiosity, perspective, and what you’ve learned so far. We give you opportunities to put that potential to work on real business challenges, contribute to projects that matter, and learn alongside experienced professionals invested in your growth.

At Inmar, we believe in:

• Raising the Bar in everything we do

• Seeking Truth Together through collaboration and learning

• Putting our Customer First

Your internship is a chance to explore what you’re capable of, build skills through real experience, and begin shaping what comes next.

About This Opportunity

Inmar’s Summer Internship Program offers a dynamic experience designed to give students real-world exposure to a professional environment while contributing meaningfully to company initiatives. Interns split their time between a high-impact cross-functional team project and department-specific responsibilities assigned by their direct manager.

Our Data, Analytics & AI Internship opportunities give students hands-on experience using data, technology, and analytical thinking to solve real business problems. Depending on business needs, opportunities may be available across areas such as Data Analytics, Business Intelligence, Data Engineering, Data Science, Analytics Engineering, Machine Learning, AI, Data Platforms, and other data-focused functions.

As an intern, you may analyze data to uncover trends and opportunities, develop reports or dashboards, improve how information is organized and accessed, build or optimize data pipelines, contribute to predictive or analytical models, or explore how AI and automation can improve products, processes, and decision-making.

The technical depth of assignments may vary. Some opportunities may focus on business analysis, reporting, visualization, and insights, while others may involve programming, data engineering, statistical modeling, machine learning, or cloud-based data technologies. Across these opportunities, you’ll learn how teams turn data into insights, insights into decisions, and technology into practical solutions.

Please note: These internship opportunities are expected to be based onsite at our Winston-Salem, NC location and will require in-person attendance during the summer. This posting is intended to build our candidate pipeline for anticipated Summer 2027 Data, Analytics & AI internship opportunities. Specific internship assignments, responsibilities, team placement, and technology stack will be based on business needs and determined as opportunities are finalized.

What You May Do

Depending on your internship assignment, you may:

• Analyze business, customer, operational, or product data to identify trends, patterns, gaps, and opportunities.

• Help develop reports, dashboards, metrics, and visualizations that make complex information easier to understand and use.

• Translate analytical findings into clear insights and recommendations for technical and nontechnical audiences.

• Gather, organize, clean, validate, and prepare data from multiple sources for analysis, reporting, or product use.

• Support the development, testing, and optimization of data pipelines and data processing workflows.

• Help improve data quality, reliability, documentation, governance, and accessibility.

• Contribute to the design and development of scalable data and analytical solutions using cloud-based technologies.

• Explore, develop, or support predictive models, machine learning, and advanced analytical solutions.

• Assist with organizing and structuring information to improve how teams access, manage, and use knowledge and data.

• Collaborate with Data, Analytics, Engineering, Product, Business Intelligence, Operations, and other teams to solve business problems.

• Apply AI and emerging technologies to research, analysis, coding, information organization, experimentation, or process improvement while maintaining appropriate review and validation.

What You’ll Gain

• Hands-on experience using data and analytics to solve real business challenges.

• Exposure to the lifecycle of data — from collection and preparation through analysis, visualization, modeling, and business application.

• Opportunities to strengthen skills in data analysis, business intelligence, data visualization, data storytelling, data engineering, statistical analysis, machine learning, and AI, depending on your assignment.

• Experience turning data and information into insights that help teams make better decisions.

• Exposure to modern data platforms, analytical tools, cloud technologies, and evolving AI capabilities.

• Experience collaborating with both technical and business teams.

• Mentorship and guidance from experienced data, analytics, and technology professionals.

• A better understanding of potential career paths across Data Analytics, Business Intelligence, Data Engineering, Data Science, Analytics Engineering, Machine Learning, AI, and related fields.

Your Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Data Science, Computer Science, Data Engineering, Statistics, Mathematics, Information Systems, Economics, Engineering, Business, or another quantitative or related field.

• Strong analytical, critical-thinking, and problem-solving skills with curiosity about what data can reveal.

• Comfort working with data and using information to identify patterns, answer questions, or support recommendations.

• Strong attention to detail and a willingness to validate, question, and clearly document findings.

• Comfort using productivity and analytical tools such as Excel and/or Google Sheets.

• Clear written and verbal communication skills, including the ability to explain findings to technical and nontechnical audiences.

• Ability to collaborate effectively across teams and work independently when appropriate.

• Curiosity about data, analytics, AI, and emerging technologies and how they can be applied to real business problems.

• Eagerness to learn new tools and contribute in a fast-paced, collaborative environment.

Depending on the Assignment, Preferred Skills May Include

• Coursework or project experience in data analytics, business intelligence, data engineering, data science, machine learning, statistics, databases, or big data.

• Experience with SQL, Python, R, Java, or other programming or analytical languages.

• Familiarity with Tableau or other data visualization and business intelligence tools.

• Experience creating dashboards, reports, visualizations, or analyses that communicate insights from data.

• Familiarity with relational or NoSQL databases and data management concepts.

• Exposure to cloud platforms such as Google Cloud Platform, AWS, or Microsoft Azure.

• Exposure to data technologies such as BigQuery, BigTable, dbt, Apache Iceberg, Starburst, Trino, Spark, or similar tools.

• Familiarity with machine learning or statistical frameworks such as TensorFlow, Keras, PyTorch, or similar technologies.

• Experience organizing, documenting, or structuring data and information for effective use.

• Experience using AI-assisted tools for analysis, research, coding, documentation, or problem-solving with thoughtful review and validation.

• Academic, personal, or open-source projects that demonstrate curiosity and hands-on work with data, analytics, or AI.

Why Intern at Inmar Intelligence

Your summer at Inmar is about putting what you’ve learned into practice while continuing to discover where your interests and strengths can take you. You’ll contribute to real-world projects, work alongside experienced professionals, and see how data, technology, automation, and innovation are shaping the future of business.

Beyond your day-to-day work, you’ll build connections through mentorship, cross-functional networking, and collaboration with fellow interns, with learning and development opportunities designed to support your growth. You’ll gain experience you can carry forward while exploring potential career paths and building relationships across Inmar.

You’ll also be part of an environment where different perspectives are valued, ideas are encouraged, and community impact matters — giving you the opportunity to grow professionally while contributing to something bigger than your individual assignment.

Bring your potential. Find your purpose. Discover your future at Inmar.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.