Product Management Intern - Data Analyst/Data Scientist, Summer 2025

The 2025 EBSCO Product Management Internship is a cross-discipline experience for college students who will use their experience and education in data analysis to work with seasoned product managers to analyze critical data sets and build compelling statements and stories that will support understanding and drive next-stage activities.

This remote position is U.S.-based only (excluding U.S. territories), with required working hours 9am – 5pm EDT

As part of the EIS Summer Intern Program, interns receive a dedicated orientation program starting on June 2nd and participate in enrichment and training events with fellow interns across the company. To learn more about the EIS Summer Internship Program, please visit - https://www.ebsco.com/about/internship-opportunities

• Actively learn from full-time Product Managers. How they gather data, write requirements, analyze data to uncover insights to make recommendations based on qualitative data, build data visualizations to support informed decisions, plan future-state technical solutions and ship products/features that solve customer & user problems in our industry.
• Draw from user activity data, platform data, financial data, and/or other data sources to predict, measure and communicate value provided to users, customers, and the business.
• Ask thoughtful questions, think about the bigger picture, and proactively build bridges to learn from colleagues, customers, and industry stakeholders.
• Cultivate deep curiosity, with a significant capacity for learning. Creativity will help you, but only if you can structure and organize your insights and learn to work effectively both independently, running your own workstreams, and collaboratively, as part of a larger team of mission-driven product managers & technologists.
• Speak the truth boldly & respectfully. We invite you to cultivate new sources of data and challenge you to balance data ambiguity with clarity. You should seek to understand the “Why” for key business decisions and be courageous in asking hard questions about the future of our products, teams, and culture. When you get the opportunity to pursue new ideas, you will take a scientific approach to building hypotheses, gathering data, and partnering with others to test, validate, and pivot based on what you learn.
• Work cross-functionally based on interest & skillset. (i.e., market analysis, competitive intelligence, product analytics, user research, design thinking, product specifications & requirements, and product strategy vision work)
• Own high impact business initiatives and collaborate with others in PM on cross-functional projects across the discovery & delivery lifecycle (per business opportunity)

Your Team

You will be welcomed as a member of the Product Management team, with business units including SaaS, Business Intelligence, Research Databases, Content, and UX Research and Design. Our team enjoys the flexibility and greater work life balance working remotely offers. There will be ample resources, tools, training, and support to ensure your success as a Product Management Intern and your development and career growth at EIS.

• Undergraduate student graduating December 2025 or later, eligible to work in USA
• Experience using modern data science technology (S3, Python, SQL, Tableau, Graph Dbs, etc.) to conduct statistical modeling, predictive analytics, and data visualization.
• Demonstrated passion for learning more about Product Management and Data Analytics
• Strong academic record or demonstrated experience working with data analysis

What sets you apart

• Related coursework or self-studies: Data Science, Data Analytics, Product Management,  Business, Computer Science, Economics, Finance, MLAI
• Leadership experience including cross-functional & co-team leadership
• Experience with Product Management, including prior internships or projects
• Experience with data analysis tools, programming or coding, including prior internships or projects
• Demonstrable ability to work independently and collaboratively
• Strong quantitative and qualitative problem-solving skills
• Effective communication skills; concise, targeted, clear, and persuasive (storytelling)