Sr. Analyst, Enterprise BI Data Products & Governance

Job Summary

This job is integral to maintaining and enhancing regional ops data to enable informed decision‑making and support business growth. It entails expert collaboration with multiple stakeholders to ensure data quality and consistency. The role is pivotal in developing and leading data standardization, metrics, integration, and testing initiatives.

• Data Analysis, Modeling & Documentation – Experience translating business and operational requirements into scalable data models and solution designs. Strong SQL, Python, and PySpark skills, with the ability to document requirements, define data relationships, and create detailed data lineage artifacts that support trusted enterprise analytics.
• Cloud & Big Data Platforms – Hands‑on experience with AWS, MinIO/S3, Databricks/Spark, and modern data lake/lakehouse architecture principles for managing and processing large‑scale datasets.
• Data Management & Governance – Strong understanding of data quality, governance, metadata management, security, and best practices for maintaining trusted enterprise data assets.
• Network & Technical Operations Expertise – Familiarity with field and network operations within enterprise support environments. Experience partnering with engineering teams to deliver scalable data solutions and proof‑of‑concept models that address operational and business needs.
• Managing data discovery, profiling, and documentation to support business unit reporting, analytics, and user queries.
• Serving as a subject matter expert, articulating data benefits and insights to business stakeholders.
• Collaborating with business units and data architecture teams to document enterprise data requirements.
• Estimating project efforts and timelines in collaboration with management and project teams.
• Maintaining comprehensive documentation throughout the data lifecycle for transparency and deadline adherence.
• Developing business rules and systems to harmonize and standardize data for organizational consistency.
• Leading the creation and execution of test plans for User Acceptance Testing of data‑centric projects.
• Partnering with engineering to implement data governance and ensure the integrity of data solutions.
• 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.

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.

Data Analysis Tools;
Cloud Architectures;
Enterprise Data Management;
Field Data Collection;
Self‑Starter;
Working Independently

Pay Range:
This job can be performed in Denver Campus with a Pay Range of $80,435.28 - $. Comcast intends to offer the selected candidate base pay within this range, dependent on job‑related, non‑discriminatory factors such as experience.

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.

5-7 Years

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.

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.

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