职位描述
Requisition Number: 67262
Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you’re as passionate about your future as we are, join our team.
KPMG is currently seeking a Senior Associate, to join our Advanced Analytics Organization.
Responsibilities
Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
Lead client analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and client communication deliverables with teams comprising data science, big data, and visualization experts
Build analytics solutions across Claims, Provider, Payor, Clinical and (or) Life Science Data using variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
Track, communicate, and manage project risks, budget, rates, profitability, and launch/closeout activities, including the administration of work papers and collaboration sites
Proactively broaden and deepen client relationships by working with senior-level clients
Qualifications
Minimum of four years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment
Bachelor’s degree in a technical or quantitative field from an accredited college or university (master’s or MBA degree is preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing
Demonstrated analytics solution design and build expertise, project and team management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources
Proficiency with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript
Ability to travel up to 80%
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, personal appearance, family responsibility, matriculation or political affiliation, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.