Pega Decisioning & Data Optimization Analysts

Job Requirements Key Responsibilities Support the design, configuration, testing, and maintenance of Pega Customer Decision Hub decisioning solutions.Develop and maintain decision strategies, Next-Best-Action configurations, engagement policies, actions, treatments, and propositions.Configure decisioning rules and business logic based on customer eligibility, business priorities, and customer context.Analyze customer data, interaction history, and decision outcomes to identify optimization opportunities.Support customer segmentation, eligibility rules, prioritization, and arbitration configurations. Mandatory Skills Experience with Pega Customer Decision Hub (CDH) or Pega decisioning capabilities.Understanding of Next-Best-Action (NBA), decision strategies, engagement policies, and arbitration.Knowledge of Pega decisioning components, business rules, and configuration.Ability to analyze customer data, business rules, and decision outcomes.Understanding of data quality, customer segmentation, eligibility criteria, and prioritization logic.Experience in functional testing, test case preparation, troubleshooting, and validation.Basic knowledge of SQL and relational databases.Understanding of REST APIs, JSON, and data integration concepts.Strong analytical, problem-solving, documentation, and communication skills. Preferred Skills Exposure to Adaptive Decision Manager (ADM), predictive models, and adaptive analytics.Familiarity with Interaction History, Customer Profile, and customer engagement strategies.Experience with data flows, data pages, data transforms, and data validation in Pega.Knowledge of customer lifecycle management, personalization, campaign optimization, or marketing decisioning.Exposure to Pega Customer Decision Hub 8.x or later.Experience in banking, financial services, retail banking, or customer engagement platforms.Pega Decisioning Consultant certification or relevant Pega decisioning training. Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.3–6 years of relevant IT, data analysis, decisioning, or Pega experience.Experience supporting enterprise application development, business rules, data analysis, or customer decisioning implementations.Ability to work collaboratively with senior architects and cross-functional delivery teams. Work Experience 7-10Years Show more Show less