About The Position

The Qualitative and Quantitative Insight Partners team is looking for a data savvy lead analyst to help us in our mission to provide personalized, actionable data driven insights for customers, working with cross-functional partners to streamline accessible and affordable care. The Business Lead Analyst will play an active part of a dynamic team that is designing, developing/building and deploying novel and complex decision models to support several key products. This role blends technical expertise, analytical rigor, and cross‑functional collaboration to enable data‑driven decision making. The Lead Analyst uses ADS (Automated Decisioning Service) to deliver scalable, transparent, and actionable decision logic for business partners.

Requirements

  • 2+ years' of experience in analytics, decision modeling, or business rules development
  • Hands‑on experience with ADS (highly preferred) or other similar decision automation platforms such as: Drools, Blaze Advisor, ODM or Pega
  • Strong SQL skills and comfort working with large datasets
  • Intermediate knowledge of Python (highly preferred) or similar scripting languages
  • Ability to translate ambiguous business needs into structured analytical solutions
  • Experience designing rules‑based models in healthcare, insurance, or other regulated industries
  • Familiarity with statistical analysis or machine learning concepts
  • Experience integrating decision models into production workflows or APIs

Responsibilities

  • Implement and Deploy Decision Modeling by translating business requirements into structured decision frameworks, rule sets and model logic
  • Use business requirements to design, develop, and maintain decision models using ADS or similar rule‑based / decision automation tools
  • Conduct exploratory analysis to validate rules, identify patterns, and ensure model robustness
  • Ensure all models follow best practices for documentation, governance, and version control
  • Support user acceptance testing, scenario testing, and validation of deployed logic
  • Troubleshoot model performance issues and implement iterative improvements
  • Communicate complex modeling concepts in clear, business‑friendly terms
  • Create and maintain thorough documentation of rule sets, model assumptions, data inputs, and testing results
  • Adhere to organizational standards for compliance, governance, and audit
  • Partner with risk, compliance, or quality teams to maintain transparency and explainability of decision logic

Benefits

  • Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs.
  • We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.
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