Principal Analytics Consultant

HCSC•Chicago, IL

1d•$102,000 - $184,300•Hybrid

About The Position

The Health Economics Team is seeking a Principal Analytics Consultant to provide analytic support and consulting for HCSC’s largest Commercial clients and advise internal senior leaders on population health and insurance. The role combines strong technical skills—including SQL, R, Python, and Tableau or Power BI—with healthcare industry knowledge spanning payors, providers, pharmacy, public health, and epidemiology. It requires an extensive healthcare consulting background and expert-level understanding of medical claims and related datasets. As a senior team member, the Principal leads external client engagements and internal projects, develops a holistic understanding of business problems, and determines effective paths to achieve desired outcomes. The role includes communicating with and presenting to C-suite stakeholders to improve understanding of plan costs and health drivers, and collaborating internally to address them. In partnership with management, the Principal also helps scale and market impactful client engagements across the organization. As a technical subject matter expert, the Principal is expected to have experience designing and maintaining standard data layers, developing organizational coding standards and documentation, and troubleshooting issues that arise during analytic development. This is a hybrid Flex role requiring at least three days in the office and two days working from home. Compensation is within a base pay range of $102,000 to $184,300 annually, with exact compensation varying based on skills, experience, and location. The role aligns with an annual incentive bonus plan, subject to its terms and conditions.

Requirements

Bachelor’s degree and 8 years of experience in healthcare services, statistical analysis, insurance industry economics, or a related field; or a master’s degree and 6 years of such experience; or a PhD and 4 years of such experience; or 12 years of such experience.
Extensive healthcare consulting background and expert-level understanding of medical claims and related datasets.
Understanding of and high proficiency in querying a wide variety of internal and external data sources to derive meaningful insights.
Strong analytical skills and proficiency in computer languages such as SQL, Python, and R.
Ability to create dynamic, visually engaging dashboards using visualization tools such as Tableau or Power BI.
Strong business intelligence and ability to take a business case from inception through customer or partner execution.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Ability to lead multiple analytics-related projects in parallel.
Analytics subject matter expertise.
Performance excellence in championing initiatives and collaborating with multiple stakeholders.
Ability to work under pressure and deliver high-quality output to senior leadership within short timelines.

Nice To Haves

Master’s degree and 8 years of experience in healthcare services, statistical analysis, or insurance industry economics, including 6 years analyzing medical claims data.
Experience using techniques such as case-control studies, regression analyses, principal component analyses, clustering, propensity scoring, classification, and ROI calculation to produce actionable insights.
Experience with Databricks.
Experience with version control or collaborative tools.

Responsibilities

Provide analytic support and consulting for HCSC’s largest Commercial clients and advise internal senior-leader stakeholders on population health and insurance.
Lead external client engagements and internal team projects, understanding business problems holistically and working efficiently toward desired outcomes.
Communicate with and present to C-suite stakeholders to increase understanding of plan costs and health drivers, and collaborate internally to address them.
Partner with management to scale and internally market impactful client engagements.
Design and maintain standard data layers, develop coding standards and documentation for organizational use cases, and troubleshoot challenges during analytic development.
Query internal and external data sources and develop meaningful insights, analyses, and visual dashboards.
Lead multiple analytic projects in parallel and champion initiatives in collaboration with multiple stakeholders.
Deliver high-quality output to senior leadership under pressure and within short timelines.