Responsibilities - Analyze PEGA CDH customer decisioning data to generate actionable marketing insights and improve campaign effectiveness. - Leverage marketing and customer interaction data to evaluate predictive models and identify optimization opportunities. - Develop reusable SQL queries and PySpark scripts to replicate PEGA CDH customer contextual objects within Databricks and other analytical environments. - Standardize analytical processes for customer interaction, model performance, and member profile analysis. - Build reusable Databricks notebooks supporting: Distribution Analysis, Arbitration Analysis, Channel Engagement Analysis - Perform back-testing, establish baseline KPIs, and develop monitoring frameworks for new CDH modeling features. - Analyze model maturity and recommend enhancements based on marketing performance and customer engagement data. - Monitor predictive model performance and improve analytical logic supporting enterprise marketing initiatives. - Develop monitoring capabilities to identify low propensity scores, ineffective marketing actions, and customer engagement opportunities. - Build eligible audience monitoring frameworks to identify target customer segments and treatment opportunities. - Collaborate with Marketing, Data Science, Analytics, and Engineering teams to translate business questions into scalable analytical solutions. Requirements - Strong experience with Databricks . - Advanced proficiency in Python, PySpark, and SQL . - Hands-on experience with PEGA Customer Decision Hub (CDH) . - Strong understanding of PEGA from a marketing perspective , including customer decisioning, campaign optimization, and marketing analytics. - Experience manipulating and analyzing large datasets to generate marketing insights from predictive models. - Experience building reusable analytical notebooks and data pipelines. - Strong knowledge of predictive analytics, KPI development, model monitoring, and customer analytics. - Excellent analytical, problem-solving, and communication skills. Nice to Have - Experience with Next Best Action (NBA) and Customer Decisioning platforms. - Experience in Marketing Analytics, Customer Journey Analytics, and Campaign Performance Analysis. - Knowledge of propensity modeling, arbitration strategies, and customer engagement optimization. - Experience developing executive dashboards and model health reporting. - Experience supporting enterprise-scale marketing analytics initiatives. Benefits