The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don’t anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you’re looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Senior Associate to join our Federal Advisory practice.
Lead multiple client service delivery teams in the active execution of engagements in compliance with firm and practice unit service delivery standards
Utilize technical and industry knowledge to identify complex client issues and build long-term business relationships with key executives through engagement delivery and networking in professional organizations
Participate in business development efforts by identifying new opportunities and assisting with proposal development
Contribute thought leadership to the development and evolution of our Enterprise Technology Solutions (ETS) methodologies and intellectual capital including publishing articles, whitepapers, or performing research in support of ETS initiatives
A minimum of three years of data analytics, data visualization solutions and implementation related experience with a professional services advisory firm or publicly traded company; U.S. Federal government consulting experience preferred
Bachelor’s degree from an accredited college/university; MBA or MIS from an accredited college/university preferred
Experience with one or more of the following languages: SQL (preferred), VBA, SAS, Python, and/or R
Experience with commercial data visualization tools; e.g., Tableau (preferred), QlikSense, or SAP Lumira
Knowledge of information access and delivery methods, analytics applications and tool portfolio, data sourcing and integration methods such as OLAP/ROLAP/HOLAP and an understanding of data warehousing/mining, ETL, EII, data cleansing, and architecture
Strong understanding of governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management
Ability to travel as required to support firms engagements
U.S. citizenship required and an active U.S. Federal government Secret security clearance