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Manager – Loyalty Program Analytics

CSi - LANDMARK GROUP
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
Loyalty analyticsCustomer analyticsCRM analyticsCustomer segmentationCohort analysisPropensity modeling

Full Job Posting

Role overview

Support analytics for Landmark Group’s loyalty ecosystem and turn loyalty data into customer-growth opportunities.

Analyze customer, transaction, engagement, and campaign data to improve acquisition, activation, retention, frequency, customer value, and personalized engagement.

Partner with loyalty, CRM, marketing, digital, brand, finance, and technology teams on analyses, dashboards, measurement frameworks, and recommendations.

What you will do

  • Manage Shukran and Landmark Group loyalty analytics workstreams across acquisition, activation, engagement, retention, frequency, spend, customer lifetime value, and churn.
  • Develop segmentation, cohort analysis, propensity models, campaign measurement, and performance deep dives for personalization and CRM effectiveness.
  • Build dashboards and scorecards for member health, incremental revenue, margin impact, redemption, points liability, tier performance, campaign ROI, and lifecycle movement.
  • Recommend offers, journeys, rewards, partnerships, tiers, and retention interventions based on loyalty data.
  • Operationalize analytics with business, product, CRM, martech, and data engineering teams through dashboards, campaign triggers, experiments, and decision-support tools.
  • Support A/B tests, holdout measurement, incrementality analysis, and post-campaign deep dives.
  • Connect loyalty performance insights to sales, margin, customer value, and brand growth through stakeholder-ready narratives.
  • Identify opportunities to apply AI and automation to analytics, targeting, and loyalty customer experience.

Experience and domain knowledge

  • 6–9 years in customer, loyalty, CRM, marketing, or retail/consumer analytics; omnichannel experience is preferred.
  • Strong knowledge of loyalty program mechanics, lifecycle management, segmentation, personalization, campaign measurement, and customer value management.
  • Experience with regression, forecasting, clustering, cohort and market basket analysis, propensity and uplift modeling, churn prediction, and optimization.
  • Ability to define KPIs and measurement frameworks for incremental sales, margin, engagement, retention, redemption, points liability, and ROI.
  • Strong stakeholder management, structured problem-solving, and ability to create scalable analytical products and decision frameworks.

Tools and communication

  • Proficiency in Python, SQL, cloud analytics platforms, and visualization tools; Azure experience is an advantage.
  • CRM, CDP, or marketing automation platforms such as Bloomreach, Braze, MoEngage, or Salesforce Marketing Cloud are a strong plus.
  • Excellent communication and storytelling skills for translating complex insights into executive narratives and actions.

Education

  • A bachelor’s or master’s degree in a quantitative field, statistics, economics, engineering, or computer science, or an MBA from a reputed institute, is preferred.

About the company

CSi describes its identity as one team focused on connecting customer understanding, data, strategy, and intelligence to deliver impact.

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