Sr Analyst, Data Analytics & Business Intelligence

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

**This is a Virtual role. The individual must reside in Colorado**

Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Collaborates with both the analytic organization and its technology partners to define and publish complex data products.

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. Produces a variety of reports, graphs, summaries, and presentations that convey analytic results and align with business needs. Presents results, recommendations, and business insights to the broader senior leadership team.

Writes complex SQL to query large data platforms such as Teradata, Starburst/Trino, Dbeaver, Databricks Oracle, and Hadoop to obtain data necessary for analysis. Combines data as needed from disparate data sources to complete analysis.

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)

Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Creates technical documentation (internal).

Consistent exercise of independent judgment and discretion in matters of significance.

This position is not eligible for visa sponsorship.  Applicants must be authorized to work for Comcast in the United States without a current or potential future need for sponsorship.

Job Description

Core Responsibilities

• Analyzes large, complex data using SQL and Python to determine actionable business insights using self-service analytics and reporting tools. 

• Queries disparate big data platforms such as Teradata, Trino/Starburst, Dbeaver, Hadoop, Databricks, and AWS. 

• Will own monthly outbound lead generation strategy and list pull process from complex unstructured backend data to support call center operations. 

• Provide key strategic partnership to West Division marketing by combining technical expertise with understanding of business needs and strategy. 

• 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. 

• Combines data as needed from disparate data sources to complete analysis. 

• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. 

• Develops forecasting models to predict sales, demand and other key business metrics. 

• Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. 

• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Ability to work effectively with both technical and non-technical groups. 

• Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. 

• Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. 

• Strong ability to address difficult questions with litt