QUALIFICATIONS
- 1+ years of experience
- Bachelor’s degree in business or engineering preferred
- Experience working with large databases, data visualization tools, machine learning and statistics preferred
- Working knowledge of SQL; knowledge of Hadoop, Hive, Tableau, R, Python
- Knowledge of process automation for efficient process
- Strong problem solving skills; ability to process complex information, break it into logical steps/tasks and present it clearly to a range of audiences
- Strong on entrepreneurial drive; committed to team and personal development
- Client service and operation mindset
- Strong team player in a dynamic and changing environment; ability to work well with multi-disciplinary teams across continents/time zones
- Strong oral and written communication skills
WHO YOU'LL WORK WITH
You will be based out of the McKinsey Knowledge Centre in Gurgaon or Bangalore as part of HALO domain within the SHaPE practice. This team uses healthcare data (payer/provider/third party data etc.), advanced analytics (combination of descriptive & predictive analytics), advanced technologies (automation, digital, AI) and core consulting skills to answer some of the most pressing questions our healthcare payor clients face.
Our capabilities are foundational across the healthcare value chain and have been core to McKinsey’s ability to deliver enterprise transformation programs for payors (public and private), providers, private equity firms, health tech companies, pharmacies and PBMs. HALO has been one of the fastest growing domains in the practice and has a diverse mix of healthcare experts, physicians, statisticians, engineers, data scientists, digital service operations experts and more.
McKinsey’s SHaPE fosters innovation driven by advanced analytics, user experience design thinking, predictive forecasting to develop new products/services and integrating them into our client work. It is helping to shift our model towards asset-based consulting and is a foundation for our entrepreneurial culture.
WHAT YOU'LL DO
You will be staffed on active client engagements focused on health care value with the ultimate goal of making healthcare better, affordable and accessible for billions of people around the world.
In this role, you will deliver high-quality analytical outputs to help guide decisions on the business problems for our clients. These analytical outputs include identifying potential opportunity areas in medical, network, admin, pharmacy costs using descriptive analytics and where needed, web-accessible dynamic reports using advanced analytics and cloud-based platforms. You will be actively engaged with front-line client teams involved in helping payors implement Healthcare Value optimization (HVO) programs, their capability development for sustained impact that improve member & provider experience and enhances the quality and affordability of healthcare system. You will use our proprietary big data and analytical platform, Nebula, which will become a core element of your toolkit. You will also support the development of HALO’s Intellectual Property (IP), knowledge & product development and drive the process of creating end-to-end solutions.
You are expected to own data models that you/team creates, develop deep healthcare content expertise and develop consulting tool kit – all of which are critical in solving the overall business problem. You will also hone project management and client communication skills as you participate in problem-solving sessions with clients and McKinsey leadership.
You will collaborate with other HALO colleagues, SHaPE domains (primarily in healthcare domains such as provider performance improvement - PPI, Episodes of Care, Population Health, Healthcare Data Management, etc.), McKinsey Integrative consultants and other McKinsey teams (Design, QuantumBlack, Academy, etc.).
