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Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources.
Job Responsibility:
Design, build and oversee the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources
Establish and build processes and structures based on business and technical requirements to channel data from multiple inputs
Develop technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data
Create and establish design standards and assurance processes for software, systems and applications development
Review internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage
Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis
Requirements:
Develops data structures and pipelines aligned to established standards and guidelines
Focuses on ensuring data quality during ingest, processing as well as final load
Creates standard ingestion frameworks for structured and unstructured data
Creates standard methods for end users / downstream applications to consume data
Develops and maintains information systems (e.g., data warehouses, data lakes)
Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks
Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift)
Understands the data lineage from source to the final semantic layer
Collaborates with technology and platform management partners to optimize data sourcing and processing rules
Handles data migrations/conversions
Preemptively recognizes and resolves technical issues
Understands the data sensitivity, customer data privacy rules and regulations
Identifies and reacts to system notification and log
Solves abstract problems beyond single development language
Solves critical issues and shares knowledge
Consistent exercise of independent judgment and discretion
Regular, consistent and punctual attendance
Must be able to work nights and weekends, variable schedule(s) as necessary
Understand our Operating Principles
Own the customer experience
Know your stuff
Win as a team
Be an active part of the Net Promoter System
Drive results and growth
Support a culture of inclusion
Do what's right for each other, our customers, investors and our communities