KPMG Associate Specialist, Deal Advisory & Strategy Analytics - Healthcare in Atlanta, Georgia
Business Title: Associate Specialist, Deal Advisory & Strategy Analytics - Healthcare
Requisition Number: 64263 - 27
Area of Interest:
Historically, the travel requirement for this position has ranged from 80-100%. The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities, and guidance from a number of infectious disease experts. For now, all KPMG business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only. At some point in the future and with the safety of people as the critical factor, the travel requirement will likely increase, possibly to previous levels, but KPMG is committed to balancing client requirements with new delivery capabilities.
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 an Associate in Deal Advisory and Strategy Analytics for our Deal Advisory (https://advisory.kpmg.us/) practice.
Assess, capture and translate complex business issues and solution requirements into a structured use case, including rapid learning of industry standards and development of effective work stream plans
Assist the development of big data analytics and cloud applications to facilitate the work of data scientists and solution developers
Design, build, launch, optimize and extend full-stack data and business intelligence solutions spanning extraction, storage, transformation and visualization layers
Support build of big data environments that enable analytics solutions on a variety of big data platforms
Minimum three years of recent experience working as a data engineer
Bachelor's degree in a numerate subject (Computer Science, Mathematics, Electrical Engineering, Statistics, or Science) from an accredited college/university or equivalent practical experience
Experience writing and maintaining extract, transform and load scripts (ETLs) which operate on a variety of structured and unstructured sources and familiarity with programming methodologies such as version control, testing and Quality Assurance (QA)
Familiarity with development methodologies such as Waterfall and Agile and experience working on cloud platforms (AWS, Azure, GCP)
Experience with several programming languages (Python, Scala, R, Java and C++)
Ability to travel as needed and required for the role
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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