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Analytics Engineer, Sr. Manager

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A career in National Special Functions, within Business Services, will provide you with the opportunity to support service, sector, and market leaders to deliver the unique PwC client experience to our clients. You'll play an important part in continuously innovating and improving Firm operations so that we can continue to provide the highest quality of services to our current and prospective clients. Our PwC Intelligence team is responsible for serving as a strategic business partner for an assigned customer to identify and pursue new opportunities, conduct market analysis, and prepare revenue projections. You'll also develop new service offerings and solutions, enhance existing delivery capabilities, and support the delivery of solutions on engagements.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:

  • Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
  • Deal effectively with ambiguous and unstructured problems and situations.
  • Initiate open and candid coaching conversations at all levels.
  • Move easily between big picture thinking and managing relevant detail.
  • Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
  • Contribute technical knowledge in area of specialism.
  • Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
  • Navigate the complexities of cross-border and/or diverse teams and engagements.
  • Initiate and lead open conversations with teams, clients and stakeholders to build trust.
  • Uphold the firm's code of ethics and business conduct.

The Analytics Engineer is responsible for the end-to-end management of data for the organization, including ingestion, transformation and quality control.

Basic Qualifications

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:

6 year(s)

‍Preferred Qualifications

Preferred Fields of Study:

Computer and Information Science, Mathematics, Engineering, Chemical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering

Preferred Knowledge/Skills:

Demonstrates intimate-level abilities and/or a proven record of success managing efforts with identifying and addressing client needs:

  • Demonstrating advanced statistical knowledge with preference given to experience with time-series forecasting and machine learning;
  • Demonstrating advanced 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), experience with R for data analysis is a plus;
  • 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;
  • Demonstrating experience with Oracle, SQL Server, and Microsoft Azure as well as data transformation tools such as SSIS, Informatica, and DBT;
  • Demonstrating experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics;
  • 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;
  • Demonstrating a conviction to high standards for data quality with a client-service focus;
  • Taking ownership for developing relationships across the organization and serving as a data SME;
  • Working independently and with a team and able to efficiently communicate in written and verbal formats to both technical and non-technical audiences, establish relationships and work well across functions;
  • Building, maintaining, and troubleshooting development and production environments;
  • Translating business logic into modeling data transformations;
  • Collaborating with other areas of the firm to source data as needed;
  • Creating leverage for more senior team members, and allowing the team to respond more flexibly and quickly to requests;
  • Collaborating with data owners to develop and implement key initiatives;
  • Managing and monitoring data attributes standards and definitions;
  • Overseeing the interaction of data requests from data owners to facilitate data consumption;
  • Defining data integration initiatives and remediation efforts for your teams in various data projects;
  • 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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