Loyalty Deployment Assistant Manager.CRM & Loyalty

Job Description Job Purpose : To analyze loyalty program audience segments and campaign performance metrics, enabling data-informed decision-making that optimizes campaign targeting, improves member engagement, and maximizes the return on investment of loyalty initiatives across all channels. Job Accountability • Analyze loyalty program audience data to identify behavioral segments, purchase patterns, and engagement trends that inform targeted and personalized campaign strategies. • Develop and maintain campaign performance dashboards and reports to monitor KPIs such as redemption rates, earn rates, active member counts, and campaign ROI, enabling timely corrective actions. • Design and implement A/B testing frameworks to evaluate campaign messaging, offer types, and targeting parameters, and present findings with clear recommendations to optimize future executions. • Collaborate with the CRM and marketing teams to define segmentation criteria and prepare data-driven audience briefs that align campaign objectives with member profiles. • Conduct post-campaign analyses to evaluate results against predefined targets, document learnings, and propose continuous improvement measures to enhance campaign effectiveness. • Monitor member lifecycle metrics including acquisition, activation, engagement, retention, and churn to proactively identify risks and opportunities for program growth • Support the development and validation of predictive models that forecast campaign outcomes, member value, and behavioral trends to guide strategic planning. • Ensure data accuracy and integrity by collaborating with data engineering and IT teams to validate, reconcile, and maintain loyalty data sources and reporting pipelines. Skills Description Education Bachelor's degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. Master's degree is a plus Google Analytics Certification, or equivalent digital/data analytics certification (preferred). CRM or marketing automation platform certifications are an advantage. Experience Minimum 3–5 years of experience in campaign analytics, CRM analytics, or digital marketing analytics, preferably within the retail, FMCG, or loyalty program sector Key Competencies: Data-driven decision making | Analytical & critical thinking | Campaign management | Attention to detail | Communication & storytelling with data | Proficiency in SQL, Excel, Power BI or Tableau | Cross-functional collaboration | Results orientation Show more Show less

Education: Bachelor's degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. Master's degree is a plus. Experience: Minimum 3–5 years of experience in campaign analytics, CRM analytics, or digital marketing analytics, preferably within the retail, FMCG, or loyalty program sector. Certifications: Google Analytics Certification, or equivalent digital/data analytics certification (preferred). CRM or marketing automation platform certifications are an advantage.

Analyze loyalty program audience data to identify behavioral segments, purchase patterns, and engagement trends that inform targeted and personalized campaign strategies. Develop and maintain campaign performance dashboards and reports to monitor KPIs such as redemption rates, earn rates, active member counts, and campaign ROI, enabling timely corrective actions. Design and implement A/B testing frameworks to evaluate campaign messaging, offer types, and targeting parameters, and present findings with clear recommendations to optimize future executions. Collaborate with the CRM and marketing teams to define segmentation criteria and prepare data-driven audience briefs that align campaign objectives with member profiles. Conduct post-campaign analyses to evaluate results against predefined targets, document learnings, and propose continuous improvement measures to enhance campaign effectiveness. Monitor member lifecycle metrics including acquisition, activation, engagement, retention, and churn to proactively identify risks and opportunities for program growth. Support the development and validation of predictive models that forecast campaign outcomes, member value, and behavioral trends to guide strategic planning. Ensure data accuracy and integrity by collaborating with data engineering and IT teams to validate, reconcile, and maintain loyalty data sources and reporting pipelines.