PwC Public Sector Data Analytics Senior Associate in McLean, Virginia
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In today's changing environment, the public sector is seeing an increase in physical and cyber threats, financial and performance reporting requirements, diversity in the workforce, and the impact of rapidly changing technologies. PricewaterhouseCoopers Public Sector LLP provides management consulting, technology consulting and risk consulting services to help federal and international government agencies anticipate and address these and other complex challenges.
PwC Public Sector LLP is one of four organizations to receive the 2014 Malcolm Baldrige National Quality Award. The Baldrige Award is the nationâ€™s highest Presidential honor for performance excellence, recognizing U.S. organizations for superior quality and world-class results across six categories defined by Baldrige including Leadership, Strategic Planning, Customer Focus, Measurement, Analysis and Knowledge Management, Workforce Focus, and Operations Focus. For more information on our journey to performance excellence, please visit www.pwc.com/baldrige or view our winner profile on the NIST website.
Professionals in PwC Public Sector LLP may be subject to a government security investigation and may need to meet related eligibility requirements for access to classified information.
Our Data and Analytics consultants help clients maximize the value of their data.
This high performing team helps clients define their
information strategy, architecture and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.
Minimum Years of Experience: 3
Minimum Degree Required: Bachelor's degree in Economics, Statistics, Operations Research, Computer Science, Information Systems, Engineering or similar quantitative discipline
Demonstrates thorough knowledge of, and proven success with a role, executing various aspects of the business or information technology-related client engagements and/or projects within a professional services environment, including knowledge of an industry or functional domain and expertise in at least two of the following areas:
Statistical Analysis and Techniques;
Customer, Product and Pricing Analysis;
Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques.
Demonstrates significant experience working with analytical models or techniques and the ability to apply such methods to an applicable challenge within the larger field of expertise. This background should include:
Visualization techniques and tools;
Advanced analytics techniques (regression, simulation, etc.);
Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques;
Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries.
Demonstrates thorough skills and/or proven success in a role participating in consulting-related projects within a professional services environment that utilize creative thinking skills and individual initiative, including the following:
- Analyzing large and complex data sets, including a demonstrated thorough aptitude for conducting quantitative and qualitative analyses
- Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback
- Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance
Understanding how the application of analytical techniques correlated to business value;
Being able to select the appropriate analytical techniques for the problem at hand.
Tools: SQL, SAS, R, Tableau, Python, ArcGIS
Education: Statistics, Mathematics, Engineering, Economics, Data Analytics, Data Science, Business Analytics
The ideal candidate would be advanced/expert level in one or two of the skills, with experience in two-three. Quantitative degrees are preferred as are advanced degrees
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.