Manager Loyalty Program Analytics
Role Overview
The role supports analytics for a Group loyalty ecosystem and turns customer, transaction, engagement, and campaign data into customer-growth opportunities.
The work spans member acquisition, activation, retention, frequency, customer value, and personalized engagement across brands and channels.
Key Skills for This Role
Full Job Posting
Role overview
The role supports analytics for a Group loyalty ecosystem and turns customer, transaction, engagement, and campaign data into customer-growth opportunities.
The work spans member acquisition, activation, retention, frequency, customer value, and personalized engagement across brands and channels.
Location
- The role is listed in Dubai, UAE.
Compensation
- Salary is AED 23,000 per month, plus benefits and bonus.
Responsibilities
- Manage loyalty analytics workstreams across Group brands, from acquisition and activation through engagement, retention, spend, lifetime value, and churn.
- Develop customer segmentation, cohort analysis, propensity models, campaign measurement, and performance deep dives for personalization and CRM effectiveness.
- Maintain loyalty dashboards and scorecards covering member health, incremental revenue, margin, redemption, points liability, tiers, campaign ROI, and lifecycle movement.
- Recommend offers, journeys, rewards, partnerships, tiers, and retention interventions based on loyalty insights.
- Work with business, product, CRM, martech, and data engineering teams to deploy analytics through dashboards, triggers, experiments, and decision-support tools.
- Support A/B tests, holdout measurement, incrementality analysis, and post-campaign deep dives.
- Present insights linking loyalty performance to sales, margin, customer value, and brand growth.
- Identify practical uses of AI and automation to improve analytics efficiency, targeting, and customer experience.
Qualifications and skills
- 6–9 years of experience in customer, loyalty, CRM, marketing, or retail/consumer analytics; omnichannel experience is preferred.
- Strong understanding of loyalty mechanics, customer lifecycle management, segmentation, personalization, campaign measurement, and customer value management.
- Hands-on experience with regression, forecasting, clustering, cohort analysis, market basket analysis, propensity and uplift modeling, churn prediction, and optimization.
- Ability to define business KPIs and create measurement frameworks covering incremental sales, margin, engagement, retention, redemption, points liability, and ROI.
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