Advanced Analytics Specialist (SAS Enterprise Miner / Python)
Core
Develop predictive models (propensity, churn, fraud detection), define advanced statistical segmentations, and analyze customer behavior patterns to optimize business decisions.
Role type
Senior IC advanced analytics specialist (SAS/Python)
Builds
Predictive models and advanced analytics solutions for business decision optimization
Domain
Financial services / Retail / Consumer goods (implied by churn/fraud/propensity context)
Deliverable
production ML models
Required skills
SQL, SAS Enterprise Miner, Python, advanced analytics, predictive modeling
Preferred skills
SAS Viya (Model Studio)
Responsibilities
Develop predictive models for propensity, churn, and fraud detection; Define advanced segmentations using statistical techniques; Analyze customer behavior patterns at geographic and transactional levels; Propose advanced KPIs based on predictive models; Migrate analytical models to SAS Viya environments
Seniority
Mid-Senior, hands-on IC
