Senior Health Data Consultant

Responsibilities

• Engage directly with clients to provide advanced analytical support.
• Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
• Partner internally with Client Services, Sales, Product, and Data Science to support clients across new sales and renewals.
• Analyze data using internal tools to evaluate pricing risk and provide recommendations.
• Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
• Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
• Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
• Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
• Help quantify ROI and performance improvements tied to our AI products.

Requirements

• 5+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
• Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field.
• Proficiency in Python and SQL required; advanced Excel skills required.
• Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders.
• Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization).
• Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings.
• Proven experience building or refining pricing models, running data submissions, and validating model-driven results.

Nice-to-Haves

• ASA certification.
• Exposure to modern data platforms such as Databricks.