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Manager Loyalty Program Analytics

Hire Rightt - Executive Search & HR Advisory
Dubai, UAE
Full-time
Mid-Senior
Onsite
AED 23,000/month
Discovered 4 days ago
Loyalty analyticsCustomer analyticsCustomer segmentationCohort analysisPropensity modelingCampaign measurement

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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