Manager, Federal Data & Analytics
KPMG
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 Manager to join our Federal Advisory practice.
Responsibilities:
- Lead teams in the development of client solutions and senior USAF Leader Decision briefs using analytics, exploratory data analysis, data wrangling, and ETL
- Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics and data wrangling tools (Python, R, DataBricks, SQL, AWS)
- Perform operations to prepare data for analysis (data cleansing, data integration, data transformation)
- Lead discussions with senior clients on the value proposition of analytics, analytics methodologies and the output of analytics solutions
- Develop documentation and guides for analytics usage and maintenance
- Identify opportunities where data and analytics can drive value for clients and develop execution approaches and strategies
Qualifications:
- A minimum of five years experience in analyzing and wrangling data using Python, SQL, R, Databricks, or other commonly used software
- Bachelor's degree from an accredited college/university; MBA or MIS from an accredited college/university preferred
- Experience managing projects including established scope, setting timelines, delegating work, and managing risk
- Experience overseeing technical staff, mentoring, providing on the job training and quality control
- Established knowledge of data science and machine learning concepts
- U.S. Citizen with an active Top Secret U.S. government security clearance
KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”.
Follow this link to obtain salary ranges by city outside of CA:
https://www.kpmg.us/work-for-kpmg/pay-transparency.html/?id=M148-3
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