Senior Data Solutions Manager
Company | Comcast |
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Location | Philadelphia, PA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s Degree
- 7-10 Years of Relative Work Experience
- Strong knowledge of IT controls and cyber security concepts
- Proficiency in Python (Programming Language)
- Proficiency in Structured Query Language (SQL)
- Experience in data analysis and project management
Responsibilities
- Manages and executes the extraction, manipulation, visualization, and analysis of analytics that support the Corporate / Cable Fin Ops audit lifecycle.
- Guides the activities of Data team members as well as business partner teams (EBI, Finance, Operations, IT, etc.) and keeps the team on track to complete assignments.
- Leads engagement objectives discussions with Cable Fin Ops leadership, understanding systems / processes / data / policies / controls, and provides strategic recommendations on potential data analytics to support and streamline the audit.
- Drives synergies and standardization for Fin Ops audit plans across Corporate, Cable, NBCU, and Sky looking for best practices and re-use.
- Drive development of continuous monitoring efforts in support of increased data quality and reduced manual validation.
- Writes clear and meaningful data analysis workpapers, documenting root-cause (as applicable), work performed, findings, and recommendations for management.
- Manage multiple large deliverables simultaneously, ensuring timely delivery while maintaining high standards of quality and accuracy.
- Identifies automation opportunities within the business that impact CGA’s audit work and assists in developing the business case to support the implementation.
- Demonstrates effective project and program management skills for data or automation related projects, including developing project plans and budgets, scheduling deliverables across Comcast Audit and business partner teams, executing per plan, and messaging status/issues to management.
- Ensures all data is secure and follows company policies regarding data classification.
- Leads the development and implementation of advanced statistical models, machine learning algorithms, and predictive analytics to identify business risk to support audit decisions.
- Uses advanced data concepts, tools, and programming techniques (e.g., Incorta, AWS Redshift, Tableau, Datalakes, Oracle Business Intelligence, Teradata and/or comparable platforms) to perform extract, transform, load (ETL) and data analysis activities, and actively shares knowledge with team members.
- Provide hands on guidance to team members on the use of data analysis tools and platforms, (e.g. Python, SQL, AWS, Tableau).
- Creates, documents, and reviews test procedures and scenarios for Unit/SIT/UAT, executes UAT with CGA COEs, and resolves defects, as necessary.
- Supports the change control process by documenting change requests/requirements and working with Data Team members to implement and test.
Preferred Qualifications
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No preferred qualifications provided.