Analyst, Enterprise Data Analytics

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Job Description

The Technology & Product organization works at the intersection of media and technology and our innovative teams are continually developing and delivering products and next-generation technologies that transform the customer experience. The Comcast Network and CONNECTivity (CONNECT) organization is a highly agile, fast-paced, dedicated group at the forefront of change focused on innovating, building, and operating the best in class, most reliable access network for our customers.

This Analyst 3 role is based in our Englewood, CO office. It is not approved for remote or virtual hire. We are unable to provide work authorization sponsorship or immigration support now or in the future.

About the Team:

The Planning Design Construction (PDC) organization at Comcast is actively expanding and upgrading our network, to facilitate future growth and capacity. We are deploying a nationwide upgrade that will allow for multi-gig speeds through cutting edge technology. Our team provides data and analytics to support national construction operations in this effort. You will be part of an adaptable group that influences the implementation, process development/improvement and compliance through data. If you are interested in helping to inform the decision-making process through the power of data by leveraging innovative & creative solutions and would enjoy being a part of a collaborative and cross-functional team, then please join us as we build the future together.

What You'll Do:

• Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
• Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
• Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
• Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
• Combines data as needed from various data sources to complete analysis.
• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
• Develops models using machine learning to predict key business metrics.
• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to executives and stakeholders.
• Establish and maintain metadata standards, ensuring consistent and accurate documentation of data assets, data lineage, and data definitions.
• Promotes and evangelizes a culture of excellence, d