Sr. Analyst, Enterprise BI Data Products & Governance
Location Philadelphia, Pennsylvania
Req ID R417890
Job Type Full Time
Category Analytics
Date posted 08/15/2025
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

Location: Philadelphia, PA – 1701 John F Kennedy Blvd (Hybrid: 4 days onsite, 1 day remote) Department: Enterprise Business Intelligence (EBI) – Data Governance Schedule: Monday–Friday, 9am–5pm EST; Evening and weekend support as needed Work Authorization: This role does not offer visa sponsorship This newly created role supports Comcast’s AI-driven initiative to acquire and retain customers through data-driven insights. The Sr. Analyst will work across business units to manage customer and prospect data, enabling precise marketing efforts and informed decision-making. The role is central to ensuring data integrity, accessibility, and usability across the enterprise. The Data Governance team is responsible for supporting the development and management of our data products, which are used across the enterprise to make important business decisions. You will collaborate with data engineers, reporting and analytics team, and business stakeholders to deliver world class data solutions.

SKILLS:

Data Management; Stakeholder Management; Structured Query Language (SQL); Requirements Gathering; Strategic Thinking; Communication; Analytics
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.

EDUCATION

Bachelor’s Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

RELEVANT WORK EXPERIENCE

5-7 Years
Our Benefits

We’re proud to offer comprehensive benefits to help you live your best life:

• Medical, prescription, vision, and dental insurance for eligible employees.
• 401(k) savings plan with dollar-for-dollar matching up to the first 6% of your pay.
• Paid time off including eight observed company holidays and flex time.
• Exclusive perks + discounts, including tuition assistance, commuter benefits and more!

• Serve as subject matter expert on customer and prospect data across business units.
• Collaborate with AI and Marketing teams to integrate campaign data with enterprise assets and drive strategic initiatives.
• Document requirements for enterprise base and semantic layers.
• Develop business rules and logic to harmonize data across systems.
• Conduct data discovery, profiling, testing, and validation.
• Create and execute test plans, including User Acceptance Testing (UAT).
• Partner with engineering, data architecture, and project management teams throughout the data lifecycle.
• Support standardization of referential data for analytics and reporting.
• Provide regular updates to leadership and ensure transparent communication.