Comcast Product / Data Analyst Co-op

Your experience will include:

• Hands-On Learning & Impactful Work: Tackle real business challenges, collaborate across teams, and contribute ideas that drive results from day one.

• Community, Connection & Giving Back: Build meaningful relationships through social events, peer engagement, and shared experiences. You’ll also have the opportunity to give back through Team UP, Comcast’s volunteer initiative, deepening your connection to both your community and your fellow students.

• Mentorship & Support: Receive guidance from experienced professionals through our dedicated mentorship program, helping you navigate your co-op and beyond.

• Professional Development: Participate in a custom onboarding experience, a curated learning series, and networking events designed to help you build new skills, explore career paths, and gain insights from professionals from across the organization.

At Comcast, we’re committed to investing in the next generation of innovators and leaders. Our Co-op Program is a transformative experience designed to help you grow, connect, and take the next step in your professional journey.

Organization & Team Overview

We are the Network Facilities Solutions (NFS) Product Team, part of the Network Facilities & Energy organization. We are a small, high‑impact product team of six, responsible for six critical products that support Comcast’s Network Facilities operations across more than 1,700 critical infrastructure sites. Our product portfolio includes both third‑party vendor solutions and homegrown platforms, and we partner closely with engineering, data, and operations teams to ensure these products deliver meaningful, scalable value.

As the NFS Product Team, we focus on defining product strategy, improving data integrity, and enabling optimized, automated, and data‑driven insights for our customers across Network, Facilities, Field Teams, and Business Partners. Our role is to understand user needs, translate them into clear product direction, and guide our solutions as they evolve, leveraging data and emerging technologies like AI to scale responsibly.

If you’re interested in learning how products are managed from vision to delivery, enjoy working across technical and business stakeholders, and want to contribute to solutions that support some of Comcast’s most critical infrastructure, this is an opportunity to grow, learn, and make a real impact.

Role Description

Are you passionate about turning data into insights and helping teams build smarter, more scalable products? Do you enjoy solving complex problems at the intersection of data, technology, and user needs? If you’re excited about working with real-world products that support large-scale operations, this is an opportunity to make a meaningful impact while learning from an experienced, highly motivated product team.

As a Product / Data Analyst Co-op on the Product Management team, you will support the evolution of data-driven products that deliver optimized, automated analytics and solutions across Comcast’s Network, Facilities, Field Teams, and Business Partners. You’ll work closely with product managers, data teams, engineers, and stakeholders to analyze product data, improve data integrity, and evaluate opportunities to leverage AI as we scale our platforms.

What are some interesting problems the student will work on?

In this role, you will help tackle real, impactful challenges, such as:

• Analyzing product and operational data to identify gaps, inconsistencies, and opportunities to improve data integrity.
• Supporting the definition and tracking of product metrics, KPIs, and dashboards that inform roadmap decisions.
• Evaluating how AI and automation can be responsibly introduced into existing workflows to improve efficiency and insights.
• Translating business and operational needs into clear analytical questions and product requirements.
• Collaborating with cross-functional teams to understand how data flows through our products and where it can be improved or scaled.

Where can this student make an impact?

You will contribute directly to products that power data-driven decision-making for critical Comcast operations. Your work will help improve the accuracy, reliability, and usability of data used by Network, Facilities, and Field Teams—enabling better planning, faster insights, and more scalable solutions. Success in this role means clearer product insights, better-informed product decisions, and stronger foundations for future AI-driven capabilities.  

Job Responsibilities

Responsibilities include but are not limited to:

• Supporting product managers with data analysis, reporting, and product insights.
• Assisting in defining and documenting product requirements, metrics, and success criteria.
• Analyzing datasets to identify trends, anomalies, data quality issues, and opportunities for improvement.
• Helping maintain dashboards, reports, or models used to track product performance.
• Collaborating with engineering, data, and business partners to understand data workflows and product use cases.
• Providing research and analytical support for new features, enhancements, and roadmap initiatives.
• Other duties and responsibilities as assigned.

Preferred Skills

• Strong analytical and problem-solving skills with attention to detail
• Experience or coursework in data analysis, statistics, or analytics tools (e.g., Excel, SQL, Python, R, or BI tools)
• Ability to translate data and analysis into clear insights and recommendations
• Interest in product management, analytics, AI, and data-driven decision-making
• Strong written and verbal communication skills
• Ability to work collaboratively in a cross-functional team environment
• Curiosity, initiative, and a willingness to learn in a fast-paced environment
• Preferred Majors: Computer Science, Data Science, Analytics, Information Systems, Engineering, Mathematics, Statistics, Business Analytics, or related fields

Minimum Qualifications and Eligibility Requirements

• Currently pursuing a bachelor’s degree from Drexel University, with a cooperative learning track.
• Available to work 40 hours per week for 6 months starting September 22, 2026, through March 26, 2027.
• Authorized to work in the United States with no current or future sponsorship needs
• Available to report in-person to the work location on the job posting