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 Job Description DUTIES: First-Level Supervisor of Data Analysts responsible for providing uniform access to and transparency for Comcast data assets; perform data modelling and write code using SQL; build and maintain data marts and cubes; use Informatica or Teradata to perform ETL processes, process code, and run queries; use Informatica to extract data from relational systems (including Oracle and SQL Server) and flat files into a data warehouse environment; work with Agile and Scrum methodologies, DevOps, and JIRA; generate reports using Tableau; tune complex SQL for better performance; transform data using Python; build data assets on top of the Avaya CMS telephony system; use Trino to process cross-platform data transformations and to run queries; work with MinIO on-prem and AWS cloud-based data lakes; develop technical requirements for SQL Server MDX and Tabular cubes; lead the Cx/Care data portfolio and alignment with business stakeholders; interpret data in clear, concise terms; lead UAT and data profiling for all releases, new projects, and data ingests; lead and manage the data stewardship build logic and STTM process; provide answers and information regarding questions about Cx/Care related data; partner with Engineering to create and monitor data quality checks and alerts; support standardization efforts for referential analysis and project deliverables; create and maintain detailed documentation, including data lineage through data ingestion; plan the data portfolio to ensure all assets are aligned; and guide and mentor junior-level analysts. Position is eligible to work remotely one or more days per week, per company policy. 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.
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Job Type
Full-time
Career Level
Manager