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Product Operations Intern
Job in
Morrisville, Bucks County, Pennsylvania, 19067, USA
Listed on 2026-02-17
Listing for:
Bertelsmann
Apprenticeship/Internship
position Listed on 2026-02-17
Job specializations:
-
Business
Data Analyst, Business Systems/ Tech Analyst -
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
As a Product Operations Intern, you'll work on defining how our product management team monitors retention, adoption, and utilization. You will also develop dashboard templates for new feature launches and monitor existing feature performance. Additionally, you'll create guides to help PMs effectively leverage analytics in their decision-making process.
You'll gain hands-on experience with Pendo and Power BI, access Reforge for professional development, and work closely with experienced product managers to shape data-driven strategies.
WHAT YOU'LL DO:
* Develop dashboard templates to track product and feature performance.
* Establish best practices for using analytics and customer feedback in feature monitoring and decision-making.
* Analyze retention, adoption, and utilization metrics to provide insights.
* Analyze segmented customer feedback to provide insights
* Create guides and documentation to help PMs leverage analytics tools effectively.
* Collaborate with product managers to refine data collection and reporting methods.
* Work with Pendo and Power BI to visualize and track key product metrics.
YOU'VE GOT WHAT IT TAKES IF YOU HAVE:
* Currently pursuing a degree in Business, Data Science, Product Management, or a related field is preferred
* Experience with Excel, SQL, Power BI, or other analytics tools is a plus.
* Prior coursework or experience in product management, business analytics, or data visualization is preferred.
* Strong analytical mindset and interest in data-driven product decisions.
* Basic understanding of product analytics concepts (e.g., retention, adoption, engagement).
* Familiarity with data visualization tools (Pendo, Power BI, or similar).
* Excellent communication and documentation skills.
* Ability to synthesize complex data into actionable insights.
* Self-starter with strong problem-solving skills.
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