Marketing Data Analyst (London Area)

Location: West London (Hybrid)

Industry: Retail

Function: CRM Analytics | Loyalty Programmes | Marketing Insight

Contract Type: Permanent

✨ The Opportunity

Are you passionate about turning CRM and loyalty data into actionable insight that improves customer experiences? A major UK organisation, globally recognised in its sector, is looking for a CRM & Loyalty Data Analyst to join its growing marketing data team.

This is a unique opportunity to shape customer strategy in a high-impact environment, using data to optimise marketing communications, loyalty engagement, and customer lifetime value.

🔍 What You’ll Be Doing

• Analyse CRM and loyalty programme data to uncover insights that improve targeting, retention, and customer value.
• Work with internal and agency teams to report on performance of customer marketing and loyalty campaigns.
• Develop regular and ad-hoc reports focused on segmentation, customer journeys, and campaign KPIs.
• Collaborate with performance marketing, brand, and data platform teams to ensure consistency and integration across data sources.
• Provide recommendations that directly influence marketing personalisation and campaign optimisation strategies.
• Contribute to a more self-service analytics approach by improving data processes and dashboard efficiency.

✅ What We’re Looking For

• 3–6 years of experience in a data analytics role, with a focus on CRM or loyalty marketing.
• Deep understanding of CRM systems, customer data, and lifecycle marketing metrics.
• Strong data storytelling skills, with the ability to present complex insights clearly to marketing and commercial stakeholders.
• Experience managing and integrating data from multiple platforms (e.g., CRM, email, loyalty apps, social).
• Exposure to campaign performance reporting, customer segmentation, and A/B testing.
• Desirable: experience with Python or R for marketing analytics or performance optimisation. Salesforce, Power BI, Tableau for Data Visualisation.

Bonus if you have experience with tools like Salesforce, Power BI, Tableau, or other customer analytics platforms—though these are not required.