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Pega Decisioning & Data Optimization Analysts

Virtusa
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Pega Customer Decision Hub and Pega decisioningNext-Best-Action and decision strategiesEngagement policies and arbitrationPega business rules and configurationCustomer data and decision outcome analysisCustomer segmentation and eligibility criteria

Full Job Posting

Key Responsibilities

  • Support 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 or Pega decisioning capabilities; understanding of 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 with functional testing, test case preparation, troubleshooting, and validation.
  • Basic SQL and relational database knowledge; understanding of REST APIs, JSON, and data integration concepts.
  • Strong analytical, problem-solving, documentation, and communication skills.

Preferred Skills

  • Exposure to ADM, predictive models, adaptive analytics, Pega data flows, data pages, data transforms, and data validation.
  • Familiarity with Interaction History, Customer Profile, customer engagement strategies, customer lifecycle management, personalization, campaign optimization, or marketing decisioning.
  • Pega CDH 8.x or later and 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 collaborate with senior architects and cross-functional delivery teams.

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