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

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

Health-related benefits including medical, vision, dental, and well-being programs
401(k)
Company paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays

Business Analytics Lead Analyst – Chronic Conditions, Qualitative and Quantitative Insight Partners

Key skills