Manager, Loyalty Program Analytics

About the role

A large retail and hospitality group is looking for a Manager – Loyalty Program Analytics in Dubai to support analytics for its loyalty ecosystem and turn loyalty data into actionable customer-growth opportunities. You will work hands-on with customer, transaction, engagement and campaign data to improve member acquisition, activation, retention, frequency, customer value and personalized engagement across brands and channels.

Key responsibilities

• Manage loyalty analytics workstreams across Group brands, covering 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 on member health, incremental revenue, margin impact, redemption behavior, points liability, tier performance, campaign ROI and lifecycle movement.
• Translate loyalty data into clear insights and 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.
• Prepare insight stories and stakeholder-ready recommendations linking loyalty performance to sales, margin, customer value and brand growth.
• Identify opportunities to use AI and automation to improve analytics efficiency, targeting and customer experience.

Required profile

• 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.
• Ability to define business KPIs and turn them into measurement frameworks covering incremental sales, margin, engagement, retention, redemption, points liability and ROI.

Required skills

• Hands-on experience with regression, forecasting, clustering, cohort analysis, market basket analysis, propensity modeling, uplift modeling, churn prediction and optimization.
• Loyalty program mechanics and CRM analytics.