To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor's Degree
Minimum Year(s) of Experience:
6 year(s)
Preferred Qualifications:
Degree Preferred:
Master's Degree
Preferred Fields of Study:
Computer and Information Science,Mathematics,Engineering,Economics,Statistics
Preferred Knowledge/Skills:
Demonstrates intimate abilities and/or a proven record of success as a team leader:
- Owning thorough statistical knowledge with preference given to experience with time-series forecasting and machine learning;
- Having a thorough knowledge of software engineering industry-leading practices, including version control, Github, testing, and validation;
- Performing complex data analysis using tools such as Python (pandas, Anaconda python distribution);
- Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources;
- Displaying experience with SQL Server, as well as data transformation tools such as SSIS, Informatica, and DBT;
- Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics;
- Being responsible for the creation and maintenance of data science pipelines with a focus on time series forecasting and model evaluation;
- Conducting quantitative and qualitative analyses of large and complex datasets;
- Building and managing ETL processes to transform data and schedule jobs;
- Working on multiple projects simultaneously;
- Revealing a conviction to high standards for data quality with a client-service focus;
- Taking ownership of developing relationships across the organization and serving as a data subject matter specialist (SMS);
- Laboring independently and with a team and able to efficiently communicate in written and verbal formats to both technical and non-technical audiences;
- Establishing relationships and work well across functions;
- Building, maintaining, and troubleshooting development and production environments;
- Cooperating with other areas of the firm to source data as needed;
- Possessing facilitation skills and the ability to coach/teach others;
- Demonstrating written and verbal communication skills, including problem/conflict resolution skills; and,
- Having direct engagement with functional leaders/staff and LOS leaders/staff.
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