Data Analyst 3

Requirements

• Bachelor's in computer science, Data Analytics, or related field
• 5+ years of relevant experience.
• Experience in data analysis, data quality, or BI environments
• Strong analytical, problem-solving, and stakeholder management skills
• Experience working with cross-functional teams
• Snowflake experience required; AI/automation exposure preferred
• 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.
• Please visit the 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.
• Certifications (if applicable)
• Relevant Work Experience
• 5-7 Years

Benefits

Additional Information

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 We are seeking a detail-oriented Senior Data Analyst to support enterprise BI data products, governance, and operational reporting. This role focuses on translating business needs into technical solutions, ensuring data quality and accuracy, supporting delivery and production readiness, and enabling stakeholders with trusted, actionable data. The role also identifies opportunities to leverage AI to streamline analysis, documentation, and operational workflows. Job Description Core Responsibilities: Data Product & Stakeholder Support Translate business requirements into technical specifications Partner with business and technical teams to deliver data solutions Support development and enhancement of enterprise BI data products Define KPIs, metrics, and data quality standards Data Quality & Validation Define and implement data quality rules and validation checks Monitor data outputs and identify anomalies or issues Ensure data accuracy, completeness, and consistency Testing & Delivery Validate data transformations, calculations, and outputs Support UAT, gather feedback, and ensure production readiness Perform post-deployment validation and issue resolution Issue & Change Management Track, prioritize, and resolve data defects and enhancements Assess upstream/downstream impacts of changes Documentation & Governance Create and maintain business and technical documentation Standardize data definitions and promote best practices Serve as a data domain SME and point of contact Continuous Improvement & AI Enablement Identify opportunities to optimize workflows and reduce manual effort Leverage AI tools for analysis, reporting, documentation, and process automation Technical Skills Strong SQL (T-SQL/advanced SQL) Data modeling and data warehousing concepts Experience with Snowflake, Teradata, and MS SQL Understanding of ETL, data integration, and data processing Basic Python and reporting/analytics tools Exposure to AI-enabled analytics and automation tools

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