Assistant Manager, Loyalty Data Analytics

Senior Manager, Member Relations

The role plays a critical role in supporting the Enrich loyalty program through advanced analytics and data-driven decision-making. This position is responsible for delivering actionable insights across the member lifecycle—acquisition, activation, retention, and reactivation—by leveraging member segmentation, campaign analysis, and multichannel performance tracking. The person will partner with internal stakeholders to evaluate program effectiveness, guide campaign optimization, and enhance personalization strategies. It also leads data integration efforts, ensures data integrity, and stays attuned to industry trends through spanet research and benchspaning. The person is expected to proactively identify opportunities for innovation, drive continuous improvement, and support strategic initiatives that strengthen member engagement and program profitability.

1. Deliver Data-Driven Insights: Analyse member behaviour across the lifecycle—from acquisition to reactivation—to provide actionable insights that inform loyalty strategies and business decisions.
2. Performance Measurement and Reporting: Monitor the effectiveness of loyalty campaigns and initiatives by developing and maintaining performance dashboards and reports, leveraging KPIs and ROI metrics.
3. Segmentation and Personalization: Develop and implement advanced segmentation strategies and personalized member journeys to drive higher engagement and program relevance.
4. Lead Data Integration Projects: Drive the integration of new data sources and systems into the loyalty data ecosystem, including defining business requirements, collaborating with IT, and managing UAT and deployment activities.
5. Market Research and Competitive Benchspaning: Conduct research and benchspaning to evaluate competitive loyalty programs, identify industry best practices, and recommend improvements for Enrich.
6. Data Governance and Accuracy: Ensure the integrity and reliability of data by performing regular audits, maintaining data standards, and establishing checks to support consistent reporting.
7. Campaign Support and Optimization: Partner with cross-functional teams to evaluate campaign performance, conduct A/B testing, and propose optimizations for better outcomes.
8. Innovation and Continuous Improvement: Stay abreast of emerging analytics tools, technologies, and methodologies; recommend and implement innovative practices to enhance analytical capabilities within the team.
9. Stakeholder Collaboration: Work closely with internal stakeholders—including spaneting, digital, product, and customer experience teams—to translate data insights into actionable strategies.

• Bachelor’s Degree in Quantitative discipline (statistics, analytics, economics, business) or equivalent
• More than 5 years of strong experience in data analysis, data mining, business case development or other related analytical projects.

• Proficient in programming languages (Python, R, SQL, etc.), data visualization tools (Tableau, Power BI, etc.), and statistical analysis software (SPSS, SAS, etc).
• Experienced in working with large databases and complex data structures, with a strong familiarity in handling nested JSON files.