6569-Analyst 3, Enterprise Data Analytics

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 the team responsible for creating and delivering analysis, analytical products, strategic recommendations, and actionable insights for leaders within the functional areas of the business; use SAS, R, or Python coding for statistical modeling and machine learning; use Natural Language Processing (NLP); gather and query data using SQL; create statistical or mathematical functions for impact analysis, hypothesis testing, behavioral analysis, operational analysis, or sensitivity testing; translate statistical analysis using Tableau, Microsoft PowerPoint, Microsoft Excel, and ThinkCell; utilize methodology and baselining tools to measure Key Performance Indicators (KPIs); conduct advanced analysis based on provided requirements; incorporate standard best practices for industry measurement and KPIs, gauging statistical significance; execute validation checks, including data element inconsistencies; work with leadership to implement solutions; partner with DQ/architecture to shape requirements and communicate needs; ensure automations are structured to meet business goals; produce reports, graphs, summaries, and presentations that convey analytic results and align with business needs; translate methodology and technical elements; and use JIRA to track tasks and projects.

REQUIREMENTS: Master's degree (or foreign equivalent) in Computer Science, Engineering, Statistics, Business Analytics, or a related quantitative field; and working knowledge of (or a Bachelor's degree in any of the above fields and two (2) years of experience with) SAS, R, or Python coding for statistical modeling and machine learning; using Natural Language Processing (NLP); gathering and querying data using SQL; creating statistical and mathematical functions for impact analysis, hypothesis testing, behavioral analysis, operational analysis, and sensitivity testing; translating statistical analysis using Tableau, Microsoft PowerPoint, Microsoft Excel, and ThinkCell; and utilizing methodology and baselining tools to measure KPIs. Working knowledge can be gained through experience, education, training or any suitable combination thereof

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

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