Loyalty Deployment Assistant Manager - CRM & Loyalty

Overview

The role focuses on evaluating loyalty program audience segments and campaign performance metrics to support data-driven decisions. The goal is to fine-tune campaign targeting, boost member participation, and maximize ROI across all loyalty channels.

Key Responsibilities

• Examine loyalty audience data to distinguish behavioral groups, shopping habits, and engagement patterns that inform tailored campaign approaches.
• Create and update dashboards and reports tracking KPIs like redemption and earn rates, active members, and campaign ROI to enable prompt adjustments.
• Design A/B testing structures to assess campaign messages, offers, and targeting; share insights and recommendations for optimization.
• Work closely with CRM and marketing teams to establish segmentation standards and generate audience briefs aligning with campaign goals and member profiles.
• Perform post-campaign assessments comparing outcomes with targets, document insights, and suggest improvements to increase campaign success.
• Track lifecycle metrics such as acquisition, activation, engagement, retention, and churn to detect risks and growth opportunities.
• Assist in developing and validating predictive models forecasting campaign impacts, member value, and behavior trends for strategic planning.
• Collaborate with data engineering and IT to ensure the accuracy and consistency of loyalty data sources and reporting processes.

Candidate Profile

• Possess a bachelor's degree in Marketing, Business Analytics, Statistics, Computer Science, or a related discipline; a master's degree is advantageous.
• Preferably hold certifications like Google Analytics or equivalent digital/data analytics certificates; CRM or marketing automation certifications are beneficial.
• Bring 3 to 5 years of experience in campaign analytics, CRM analytics, or digital marketing analytics, ideally within retail, FMCG, or loyalty programs.
• Exhibit competencies including data-driven decision-making, analytical thinking, campaign management, attention to detail, and effective data storytelling.
• Demonstrate proficiency in SQL, Excel, and visualization tools such as Power BI or Tableau.
• Have strong skills in cross-team collaboration and a results-focused mindset.