Comcast HR & Workforce Analytics & Data Science Co-op at Comcast

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Program Overview:

Comcast’s Drexel Co-op Program offers an exciting opportunity to gain hands-on experience, build lasting connections, and grow professionally in a dynamic and inclusive environment. This paid, 6-month immersive experience places students at the heart of our business, working alongside talented professionals on meaningful projects that contribute to real outcomes. As a trusted member of the team, you’ll gain exposure to the inner workings of a global media and technology company while developing skills that will serve you well in any career path.

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.

Job Description Organization & Team Overview

Enterprise Business Intelligence is a center of excellence comprised of Engineers, Analysts, Scientists, and Machine Learning experts working to translate Comcast’s data into actionable intelligence that drives profitable growth for the company. As a member of this team, you’ll be at the forefront of developing data driven strategies to address business problems.

The Human Resources / Workforce Enterprise Analytics group partners with HR and business leaders to translate workforce and people data into actionable insights. As a member of this team, you will help transform data into insights that improve how the organization attracts, rewards, and develops its people.

Role Description

As an HR / Workforce Data & Analytics Co‑op, you will leverage data, analysis, and insights to help answer complex workforce‑related business questions. This role involves working with structured datasets and applying analytical and statistical techniques—including predictive modeling and experimentation—to generate insights that inform both business and HR strategy. You will use programming skills to aggregate, transform, and analyze data. In partnership with team members and HR stakeholders, you will translate business problems into analytical approaches and communicate findings through clear, compelling data storytelling.

What are some interesting problems the student will work on?

In your role, you will drive insights through analytics to provide critical data to our HR and business leaders as they make decisions. You will be translating ambiguous business questions into structured analytical approaches.

Where can this student make an impact?

You will be working in an exciting, fast-paced environment with a small team to deliver key insights to HR leaders.

Job Responsibilities

Responsibilities include but are not limited to:

• Analyze workforce data using statistical and analytical methods to identify trends and insights related to headcount, compensation, hiring, attrition, internal mobility, and productivity
• Build forecasting models to support sales target planning and quantify how different business performance scenarios impact individual commission earnings
• Partner with compensation and sales compensation teams to evaluate incentive plan effectiveness, payout distributions, and return on investment
• Apply analytical techniques to assess alignment between employee performance, compensation outcomes, and broader business results
• Translate ambiguous business and HR questions into structured analytical approaches and actionable insights
• Develop and execute analytical and statistical solutions to business problems under the guidance of senior team members
• Research and apply existing and emerging workforce analytics and data science concepts to inform decision‑making
• Ensure analytical outputs are accurate, intuitive, and tailored to the intended audience
• Clearly communicate analytical findings, assumptions, and limitations to both technical and non‑technical stakeholders
• Contribute to the development of standardized metrics, frameworks, and analytical best practices
• Support a culture of data‑driven decision‑making within HR and across the business
• Other duties and responsibilities as assigned.

Preferred Skills

• Coursework or project experience in data analytics, statistics, economics, or a related field
• Understanding of advanced statistical techniques and their applications
• Experience using Python and/or R for data analysis (academic or project-based experience is acceptable)
• Proficiency retrieving and manipulating data using SQL
• Comfort working with large, real-world datasets
• Strong critical thinking and problem-solving skills
• Curiosity about business problems and a desire to ask thoughtful questions
• Ability to communicate analytical findings clearly and effectively
• Preferred Majors: Mathematics, Computer Science, Artificial Intelligence & Machine Learning, Statistics, Data Science

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

Skills

Accountability, Communication, Professional Etiquette, Relationship Building, Resilience, Teamwork

Compensation

Base Pay: $7.25

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education Certifications (if applicable)

Relevant Work Experience

0-2 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.