Sr. Analyst, Enterprise BI Data Products & Governance
Role details
Job location
Tech stack
Job description
About the Role Are you a data detective with a passion for precision? Do you thrive on transforming complex systems into clean, actionable insights? If so, we want you on our team!
As a Sr. Analyst on our Enterprise BI Data Products & Governance team, you'll be the go-to expert for ensuring data integrity, transparency, and usability across our enterprise system, especially those that power our sales compensation platforms. You'll partner with business and technical teams to curate, validate, and optimize data that drives real business impact.
This is more than just a data job-it's a chance to own your work, influence enterprise-wide decisions, and grow into a Lead Analyst role., * Be the data subject matter expert-know it, love it, explain it.
- Curate and validate data that feeds into sales compensation systems.
- Translate business needs into technical requirements and data models.
- Collaborating across teams: Sales Comp, HRBPs, Data Engineering, Reporting.
- Own the data lifecycle: discovery, profiling, testing, documentation.
- Build and execute UAT plans and ensure data quality through QA checks.
- Provide transparency and alerts to upstream data owners.
- Drive proactive improvements and suggest enhancements to data systems.
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned., * Sales Compensation teams to ensure accurate, timely data
- HR Business Partners to align workforce insights
- Data Engineers to build scalable solutions
- Reporting teams to deliver meaningful analytics
Together, you'll create a data ecosystem that's trusted, transparent, and transformative.
How We Measure Success
- You take entrepreneurial ownership of your data domain.
- You proactively improve data quality and usability.
- You build strong, collaborative relationships across business and tech teams.
Career Growth
This role is a launchpad to become a Lead Analyst. We're committed to your development through hands-on experience, mentorship, and exposure to enterprise-level strategy.
Ready to Make an Impact?
If you're excited by the idea of shaping the future of enterprise data and love solving complex problems with smart people-apply now and let's build something great together.
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team - make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Disclaimer:
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Requirements
- SQL & Python mastery
- Experience with large-scale enterprise systems
- Data modeling & architecture know-how
- Operational data maintenance & manipulation
- Strong attention to detail
- Technical documentation & system design translation
Nice-to-Haves:
- Tableau or Power BI experience
- Familiarity with Databricks
- Understanding of software development lifecycle, Enterprise Business Intelligence; Data Modeling; Structured Query Language (SQL); Data Quality Management; Project Life Cycle Management; Product Development; Technical Communication, 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
