Pega Analyst

Job Title: PEGA Data Science and Analytics Location: Hybrid at Vienna, Winchester, VA or Pensacola, FL Duration: 6-9 month contract – can extend Role Overview • We are looking for a Data Analytics Engineer to join our team to enable and simplify the analysis required for faster implementation of new Pega Customer Decision Hub (CDH) modeling features. Your mission is to bridge the gap between CDH operations and deep-dive data science by building a robust, standardized analytical framework within Databricks. • This role is critical for providing "Actionable Monitoring Data" that leadership and cross-functional teams rely on to gauge model health and program success. Prioritized Deliverables • Data Infrastructure: Develop a library of queries and scripts to replicate CDH customer contextual objects in external systems (Databricks/ASL) for deep-dive analysis. • Standardized Retrieval: Create standard formats for executing key data steps, including interaction-to-outcome attribution, model/predictor performance mapping, and member profile mapping. • Self-Service Analytics: Build and maintain Databricks notebooks for the broader team to answer specific questions regarding Distribution, Arbitration, and Channel Engagement. • Feature Support: Conduct initial analysis for new model features, including creating back-testing approaches for propensity thresholds and establishing baseline KPIs for model maturity. Core Responsibilities • Model Health Monitoring: Refine the logic for model performance monitoring and ensure NBI Program Model Health data is readily available for O&A, MDSA, and Marketing leadership. • Actionable Insights: Standardize real-time monitoring (1-day lag) to capture exceptionally low propensity scores or actions not providing intended value (acquisition/engagement). • Audience Monitoring: Identify members eligible for different treatments and tie interactions back to demographic data for granular, standardized analysis across the O&A team. Technical Skillset • Environment: High proficiency in the Databricks ecosystem. • Languages: Expert-level Python, PySpark, and SQL. • Platform: Experience with Pega CDH is strongly preferred. • Analytical Ability: Strong background in back-testing, KPI establishment, and impact analysis for machine learning models. Why Join Us? • You will play a pivotal role in eliminating manual "scrambles" for data by creating a standardized, automated environment. Your work will directly influence how we gauge the impact of new features and ensure our marketing actions provide maximum value to our members.