Manager Loyalty Program Analytics
Hire Rightt - Executive Search & HR Advisory · Dubai, United Arab Emirates
Apply & track with Apply EdgeRole: Loyalty Program Manager Analytics
In this role, you’ll work hands-on with customer, transaction, engagement, and campaign data to identify opportunities to improve member acquisition, activation, retention, frequency, customer value, and personalized engagement across brands and channels.
Responsibilities
Manage loyalty analytics workstreams across the Group brands, covering member acquisition, activation, engagement, retention, frequency, spend, customer lifetime value, and churn.Develop customer segmentation, cohort analysis, propensity models, campaign measurement, and performance deep dives to support personalization and CRM effectiveness.Build and maintain loyalty performance dashboards and scorecards, including member health, incremental revenue, margin impact, redemption behavior, points liability, tier performance campaign ROI, and lifecycle movement.Translate loyalty data into clear insights and practical recommendations for offers, journeys, rewards, partnerships, tiers, and retention interventions.Work with business, product, CRM, martech, and data engineering teams to operationalize analytics through dashboards, campaign triggers, experiments, and decision-support tools.Support test-and-learn programs, including A/B testing, holdout measurement, incrementality analysis, and post-campaign deep dives to understand what drives customer behavior change.Prepare clear insight stories and stakeholder-ready recommendations that connect loyalty performance to sales, margin, customer value, and brand growth.Identify practical opportunities to use AI and automation to improve analytics efficiency, customer targeting, and loyalty customer experience.Qualification & Skills:6-9 years of experience in customer analytics, loyalty analytics, CRM analytics, marketing analytics, or retail/consumer analytics, preferably in an omnichannel environment.Strong understanding of loyalty program mechanics, customer lifecycle management, segmentation, personalization, campaign measurement, and customer value management.Hands-on experience with analytical techniques such as regression, forecasting, clustering, cohort analysis, market basket analysis, propensity modeling, uplift modeling, churn prediction, and optimization.Ability to define business KPIs and convert them into clear measurement frameworks covering incremental sales, margin, engagement, retention, redemption, points liability, and ROI.