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:                               Contribute to a team responsible for managing the complete project lifecycle for new data integration, data integrity, and data standardization centered on single source of truth; use Teradata SQL for statistical and empirical data analysis aimed at anomaly detection; write, debug, and execute automation scripts for data validation and testing using Python; collaborate with a cross-functional team to support dimensional data models, including star schemas, in a relational database for executive level reporting; collaborate across multiple teams to understand business needs, analyze complex data, and integrate campaign and marketing data with other company data assets; work with business units to document requirements for enterprise base and semantic layer; identify and build source to target mapping for marketing data attributes; work with management teams in estimating timelines; maintain detailed documentation through data lifecycle processing; develop business rules and logic for data; create test plans and execute User Acceptance Testing for data projects; partner with HQ systems engineering and business units to process data within Teradata, AWS, Hadoop and Horton Works; review output of data quality validations, analyze alerts, and escalate for corrective action; profile and analyze enterprise data to determine data quality validations and identify potential data issues; and partner with data architecture and project management teams through the project lifecycle. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and two (2) years of experience using SQL for statistical and empirical data analysis aimed at anomaly detection; creating dashboards and analyzing data on Tableau; building and monitoring performance of KPIs; triaging, documenting, and resolving data quality issues using JIRA and Wiki Confluence; of which one (1) year includes writing, debugging, and executing automation scripts for data validation and testing using Python; and analyze and manipulate data from multi-dimensional data models, including star schemas, in a relational database using Teradata and AWS.

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.

Skills

JIRA Tool, Key Performance Indicators (KPI), Tableau Dashboard Development, Teradata Database

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Please visit the benefits summary on our careers site for more details.

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