leverage strong technical skills (SQL, R, Python, and Tableau/PowerBI) and healthcare industry knowledge (payor, provider, pharmacy, public health, epidemiology, etc.) to support and enhance client-facing engagements with HCSC’s largest Commercial customers
responsible for the analytic support and consultancy for HCSC’s largest Commercial Clients and advisory for internal senior-leader stakeholders related to population health and insurance
be a thought leader in both external client engagements and internal team projects by holistically understanding the business problem at hand and how to efficiently work towards an end goal
communicating with and presenting to C-Suite stakeholders with the ultimate goal of elevating their understanding of plan cost and health drivers
collaborating internally to address plan cost and health drivers
scale and help internally market impactful client engagements for broader impact
as a technical subject matter expert, designing and maintaining standard data layers, developing coding standards and documentation for organizational use cases, and troubleshooting challenges that arise during analytic development
Requirements
Bachelor's degree and 5 years of experience in health care services, statistical analysis, insurance industry economics or related field OR Master’s degree in related field with 3 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR 9 years of experience in health care services, statistical analysis, or insurance industry economics or related field
Understanding of and highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.), member/patient demographic data, and publicly available databases (U.S. Census, Bureau of Labor Statistics, NIH, etc.).
Performance excellence in computer languages, such as SQL, R, Python.
Ability to create a dynamic and visually engaging dashboard leveraging data visualization tools such as Tableau or Power BI.
High degree of business intelligence and understanding how to take a business case from inception to customer or partner execution.
Experience leading an analytic initiative to success.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Performance excellence in championing initiatives and collaborating with multiple stakeholders to bring the initiative to life.