PwC Data Analytics Manager in Arlington, Virginia
A career in our Data & Analytics practice, within New Business Ventures, will provide you with the opportunity to invest in new business models that leverage our knowledge and build solutions for the growing digital market. New Business Ventures identifies, develops, and commercialises technology-enabled solutions that deliver PwC value, knowledge, and experience to our clients. Each new solution focuses on data-driven platforms or other intellectual property based solutions that leverage emerging technologies and new business models. Through the process of building new solutions, we foster a culture of innovation within PwC, extend brand relevance in the market, and generate new revenue.
Our team focuses on the process of collecting, cleansing, transforming and modeling data for the purposes of drawing critical insights and conclusions that support decision making.
To really stand out and make us ?t for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 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:
- Pursue opportunities to develop existing and new skills outside of comfort zone.
- Act to resolve issues which prevent effective team working, even during times of change and uncertainty.
- Coach others and encourage them to take ownership of their development.
- Analyse complex ideas or proposals and build a range of meaningful recommendations.
- Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
- Address sub-standard work or work that does not meet firm’s/client’s expectations.
- Develop a perspective on key global trends, including globalisation, and how they impact the firm and our clients.
- Manage a variety of viewpoints to build consensus and create positive outcomes for all parties
- Focus on building trusted relationships.
- Uphold the firm’s code of ethics and business conduct.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Fields of Study :
Mathematics, Computer and Information Science, Engineering, Data Processing/Analytics/Science
Preferred Knowledge/Skills :
Demonstrates extensive knowledge and/or a proven record of success in roles involving executing various aspects of client engagements and/or projects within a professional services environment, including knowledge in at least two of the following areas:
Computer programing with any of the following focus: statistical/mathematical languages [e.g., R, SAS, MATLAB], general purpose languages [e.g., Python, Java, Go, Perl], and/or other special purpose languages [e.g., SQL, bash scripting];
Machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, and graph analysis;
Large scale data processing tools [e.g., Hadoop environment, Apache Spark, elastic cloud compute];
Data analysis workflow using tools [e.g., git, iPython notebook]; and,
Data visualization tools [e.g., D3.JS, Gephi].
Demonstrates extensive abilities and/or a proven record of success within a professional services environment, in the following areas:
Interpret problems, synthesize analysis, and present information in a way that is understandable to a non-technical person;
Work collaboratively on teams with a variety of technical and non-technical skill sets;
Compile and present complex information using data visualization tools;
Collaborate and contribute as a team member: understand personal and team roles, contribute to a positive working environment by building solid relationships with team members, and proactively seeking guidance, clarification, and feedback;
Identify and address client needs, build relationships with clients, develop requests for information, demonstrate flexibility in prioritizing and completing tasks, and communicate potential conflicts to a supervisor;
Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize ability in problem-solving, and communicate effectively in written and verbal formats to various audiences - including various levels of management and external clients - in a professional business environment;
Coach and collaborate with associates and senior associates who assist with this work, including providing coaching, feedback and guidance on work performance;
Understand how the application of analytical techniques correlate to business value;
Select the appropriate analytical techniques for the problem at hand;
-Work closely with leaders across product functions to design the analytics roadmap and to support and implement high quality data driven decisions and deliverables;
-Develop and implement quality controls and standards to ensure data integrity and quality; and
-Lead and provide oversight to a team of data scientist in their approach to data modeling and analysis techniques.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.