Manager, Loyalty Analytics

Senior Manager, Member Relations

The role plays a strategic role in transforming data into actionable insights that drive the growth and performance of the Enrich loyalty program. This role leads the design and delivery of member analytics across the member lifecycle, supports data-driven decision-making, and champions the use of segmentation and personalization to enhance member engagement. The incumbent is responsible for ensuring data integrity, integrating new data sources, and evaluating loyalty performance through clear reporting and benchspaning which will also involve collaborating closely with cross-functional teams.

• Own the development and execution of analytics strategies to support Enrich’s business objectives, including acquisition, activation, retention, and reactivation.
• Lead the development of loyalty performance dashboards and reports, tracking key KPIs and ROI to support ongoing decision-making.
• Oversee the creation and optimization of data-driven segmentation models and personalized journeys to enhance member engagement and program relevance.
• Develop robust measurement frameworks to evaluate the effectiveness of campaigns and initiatives, providing recommendations to optimize performance and ROI.
• Collaborate with internal stakeholders across business units to translate data into strategic insights that influence decision-making and member experience improvements.
• Manage the integration of new data sources and enhancements to the loyalty data ecosystem by defining requirements, coordinating UAT, and ensuring successful implementation.
• Provide research and benchspaning insights on industry trends and competitive loyalty programs to inform innovation and strategy development.
• Ensure data accuracy, consistency, and compliance by implementing robust governance practices, performance monitoring, and audit processes.
• Mentor and develop junior analysts, fostering a high-performance, data-driven culture within the loyalty analytics team.
• Introduce advanced analytics methodologies, tools, and automation to enhance reporting, decision-making speed, and business outcomes.

• Bachelor’s Degree in Statistics, Data Science, Business Analytics, Economics or any related discipline.
• At least 6–8 years of experience in a data analytics or business intelligence role, with at least 2 years in a leadership or managerial capacity.
• Experience in loyalty, CRM, or customer lifecycle analytics is highly preferred.

• Knowledge on Python, R, SQL, and statistical software (e.g., SPSS, SAS), with experience guiding teams on best practices.
• Skilled in handling large and complex datasets, including unstructured data like nested JSON files.
• Hands-on experience with digital analytics platforms such as Adobe Analytics and Google Analytics to generate member insights.
• Strong working knowledge of Microsoft Office, including advanced Excel and Power BI for data visualization, dashboarding, and reporting.
• Familiar with key spaneting analytics approaches such as segmentation, targeting, and campaign performance measurement.
• Experienced in leading data projects, including gathering business requirements, working with technical teams, and delivering solutions aligned with system capabilities.

• Strategic thinker with a hands-on, data-driven approach.
• Strong leadership, mentoring, and collaboration skills.
• High attention to detail with a continuous improvement mindset.