Manager Loyalty Program Analytics

Role: Loyalty Program Manager Analytics

Location: Dubai, UAE

Salary: AED 20,000 - 25,000pm+ benefits + bonus

Industry: Retail and hospitality (Large group)

We’re looking for a Manager – Loyalty Program Analytics to support analytics for the Group’s loyalty ecosystem and help convert loyalty data into actionable customer-growth opportunities. 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.