As a member of the Social, Healthcare and Public Entities (SHaPE) Tech team, you will develop next-generation data and analytic solutions for the healthcare industry. You will leverage comprehensive healthcare data to solve complex challenges and improve healthcare delivery and outcomes.

• Bachelor’s or advanced degree in a healthcare-related field or a quantitative discipline (e.g., Data Science, Data Analytics)
• 1+ years of healthcare data experience, including a strong background in healthcare or clinical analytics
• High proficiency in SQL, with the ability to independently mine and process large-scale, complex healthcare datasets
• Proficiency in a data visualization tool (e.g., Tableau, Power BI)
• Deep understanding of claims billing processes and code sets (e.g., ICD-10, CPT, HCPCS)
• Working knowledge of additional coding languages (e.g., Python, R) is a strong plus
• Self-starter with a healthy skepticism regarding data validity

• Build next-generation data and analytic solutions for the healthcare industry
• Own and scale proprietary analytic assets
• Leverage one of the industry's most comprehensive healthcare data lakes
• Bridge the gap between deep technical data analysis and strategic client impact
• Develop scalable analytic assets aimed at improving healthcare delivery and outcomes

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.