Job Abstract

DUTIES: Contribute to the CGA Enterprise Analytics & Data Intelligence team, responsible for designing, developing, and maintaining data platforms and processes that support quarterly audit engagements; analyze financial data and data in relational databases using SQL; develop connections to third party data sources and create new data feeds using Python; develop solutions architecture in AWS and incorporate tools from AWS suite into current architecture; create datasets and build analytics that... more details

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 CGA Enterprise Analytics & Data Intelligence team, responsible for designing, developing, and maintaining data platforms and processes that support quarterly audit engagements; analyze financial data and data in relational databases using SQL; develop connections to third party data sources and create new data feeds using Python;  develop solutions architecture in AWS and incorporate tools from AWS suite into current architecture; create datasets and build analytics that support engagements teams as they check controls; develop data automation and ensure data sets are complete and accurate; ensure quality assurance practices, including inspecting, testing, and evaluating data; monitor data feeds;  and monitor quality of data produced by the Enterprise Analytics & Data Intelligence team processes. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Data Science, Analytics, Finance, Statistics, Mathematics, or any related quantitative field, and two (2) years of experience analyzing financial data; developing connections to third party data sources and creating new data feeds using Python; of which one (1) year includes analyzing data in relational databases using SQL; and developing solutions architecture in 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.

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

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