Strategic Insights Lead - Client Analytics & Growth

Manulife John Hancock; Toronto; Sur place; CAD 110 000 - 140 000; Plein temps

Résumé du poste

Manulife Bank is seeking a Business Strategic Insights - Client Analytics Lead to deepen understanding of priority client and advisor segments and to develop an analytics-driven value proposition. You will collaborate with Data & Insights, Product, and Distribution to deliver segmentation frameworks and strategic insights that identify growth opportunities and enhance client experiences.

The role emphasizes customer analytics, loyalty, and data-driven decision making in a banking context,

Qualifications

• Experience in customer analytics and segmentation within financial services or banking.
• Ability to translate data findings into actionable insights for senior stakeholders.
• Strong communication and presentation skills for executive audiences.

Responsabilités

• Develop and maintain customer segmentation and profiling frameworks using behavioral, transactional, and demographic data.
• Design analytics-driven insights to refine the value proposition for priority client and advisor segments.
• Collaborate on dashboards and reporting tools for segment performance and governance.
• Translate analyses into concise, decision-ready executive presentations for leadership.

Connaissances

Customer analytics

Segmentation & profiling

Executive storytelling

Cross-functional collaboration

Problem solving

Formation

Post-secondary education in Business, Economics, Statistics, Mathematics

Outils

Excel

Power BI

Description du poste

Manulife Bank is seeking a Business Strategic Insights - Client Analytics Lead to deepen understanding of priority client and advisor segments and to develop an analytics-driven value proposition. You will collaborate with Data & Insights, Product, and Distribution to deliver segmentation frameworks and strategic insights that identify growth opportunities and enhance client experiences.

The role emphasizes customer analytics, loyalty, and data-driven decision making in a banking context,