Full-Time

Senior Analyst

Provider Revenue Excellence

Confirmed live in the last 24 hours

McKinsey & Company

McKinsey & Company

10,001+ employees

Global management consulting for sustainable growth

No salary listed

Senior

Company Does Not Provide H1B Sponsorship

Boston, MA, USA + 23 more

More locations: Seattle, WA, USA | Houston, TX, USA | Washington, DC, USA | San Francisco, CA, USA | Austin, TX, USA | Detroit, MI, USA | Cleveland, OH, USA | Los Angeles, CA, USA | Miami, FL, USA | Dallas, TX, USA | Philadelphia, PA, USA | Chicago, IL, USA | Charlotte, NC, USA | St. Louis, MO, USA | Pittsburgh, PA, USA | Columbus, OH, USA | New York, NY, USA | Phoenix, AZ, USA | Minneapolis, MN, USA | Denver, CO, USA | Mountain View, CA, USA | Atlanta, GA, USA | Darien, CT, USA

Category
Management Consulting
Consulting
Required Skills
Machine Learning
Operations Research
Connection
Connection
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Requirements
  • Undergraduate degree; advanced degree is a plus, ideally in a quantitative discipline (statistics, mathematics, economics, operations research, engineering, computer science) or a healthcare discipline
  • 4+ years of professional experience in a healthcare environment with end-to-end revenue cycle transformation experience, including patient access, coding, Clinical Documentation Improvement (CDI), billing, A/R management, and related IT systems
  • History and/or exposure to managing projects or programs that significantly improved revenue cycle performance, e.g., improved patient collections, reduced denial write-offs, increased accuracy of clinical documentation and coding, accelerated back-end cash collections, etc.
  • Familiarity with revenue cycle technology assets and concepts, e.g., point solutions and data interchange, ideally with exposure to product development or implementation
  • Enthusiasm for intensely analytical work
  • Understanding of statistical and advanced analytics methods, e.g., descriptive statistics, predictive analytics, and machine learning
  • Experience sharing your views and perspectives with senior clients and colleagues
  • Ability to work collaboratively in a team environment
Responsibilities
  • Manage projects that significantly improve revenue cycle performance, such as improved patient collections, reduced denial write-offs, increased accuracy of clinical documentation and coding, accelerated back-end cash collections
  • Drive development of technology assets that help client teams fulfill their goals
  • Engage deeply across clients’ businesses to build capabilities, systems, and processes needed to deliver bottom-line results
  • Ensure that success is a priority with clients
  • Work on increasing payer yield, improving mid-cycle performance, or reducing cost to collection

McKinsey & Company offers management consulting services to a wide range of clients, including corporations, governments, and non-profits, helping them address complex business challenges. Their services focus on strategy, operations, technology, and organizational transformation, and they charge fees based on project complexity. McKinsey aims to promote sustainable and inclusive growth, using tools like QuantumBlack and Value Finder to leverage AI and analytics for client benefit. They differentiate themselves by actively engaging with technological advancements and fostering partnerships with leading tech companies.

Company Size

10,001+

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

1926

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  • Growing demand for AI-driven solutions boosts McKinsey's consulting services.
  • Increased interest in sustainability aligns with McKinsey's inclusive growth initiatives.
  • Expansion of digital transformation initiatives enhances McKinsey's market opportunities.

What critics are saying

  • AI-focused startups like Dutycast challenge McKinsey's position in AI consulting.
  • Collaboration with ORX may expose McKinsey to data privacy and security risks.
  • Hiring from other industries may lead to integration challenges within McKinsey.

What makes McKinsey & Company unique

  • McKinsey partners with tech giants like Google Cloud for innovative AI solutions.
  • QuantumBlack, AI by McKinsey, leverages AI to drive client innovation and growth.
  • Value Finder tool, developed with SAP, helps clients unlock new value sources.

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