Senior Customer Analyst - Loyalty

Description

Senior Customer Analyst - LoyaltyLocation: LondonSalary: Up to GBP70,000 + discretionary bonusBenefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You'll Do:

Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

Redesign loyalty programmes to increase engagement and repeat purchases.

Develop SCV integrating purchase, engagement, and loyalty data.

Model customer value to understand the impact of loyalty participation.

Benchmark competitor loyalty schemes and propose differentiators.

Share insights globally to replicate successful loyalty initiatives.

Requirements:

Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

Experience in loyalty analytics in e-commerce, retail, or telco environments.

Analytical skills to interpret data and strategic mindset to design propositions.

Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

Python for statistical analysis.

Experience designing and running A/B tests.

Application Process:

SQL test on Kaggle - 2 live-coding questions, interactive.

Skills-based interview - 45 minutes (30 minutes questions, 15 minutes candidate questions).

Case study/data analysis presentation - face-to-face in the office.

Find out more and apply via the link below.

Ad ID: 5417481680