CRM Data Analyst

Role Overview

We’re looking for a CRM Data Analyst who can turn customer, campaign, and transactional data into clear commercial insights. You’ll sit at the intersection of CRM, loyalty, data, and restaurant operations, helping teams understand what is driving customer engagement, retention, and value.

What You Will Do

Analyse CRM and campaign data across Braze to measure acquisition, engagement, retention, LTV, and campaign effectiveness. Interrogate customer and transactional data to identify behavioural trends, purchase patterns, and opportunities.

Why It Might Be a Fit

Strong experience as a Data Analyst, CRM Analyst, Customer Analyst, or similar analytical role, ideally within CRM, loyalty, retail, QSR, or consumer businesses. Advanced SQL skills, with the ability to independently query, join, clean, and analyse large datasets.

Requirements

• Strong experience as a Data Analyst, CRM Analyst, Customer Analyst, or similar analytical role, ideally within CRM, loyalty, retail, QSR, or consumer businesses.
• Advanced SQL skills, with the ability to independently query, join, clean, and analyse large datasets.
• Hands-on experience with Snowflake or similar cloud data platforms.
• Strong Power BI or BI tooling experience, with the ability to build clear dashboards and reporting.
• Solid understanding of CRM and loyalty analytics, including customer lifecycle, segmentation, retention, LTV, campaign performance, and engagement metrics.
• Experience working with CRM platforms such as Braze and analysing campaign/customer data.
• Strong commercial mindset, with the ability to turn analytical findings into practical recommendations and business actions.
• Comfortable working with transactional, customer, app, and behavioural datasets and analysing performance at a granular level.
• Strong stakeholder management and communication skills, with the ability to explain complex analysis clearly to both technical and non-technical audiences.
• Comfortable taking ambiguous or open-ended briefs and independently defining the analytical approach.
• Experience working collaboratively with Data Engineering, Data & Analytics, CRM, Loyalty, and Operations teams.
• Strong attention to data quality, accuracy, and analytical rigour.

Benefits

• Bring Your Own Device
• Right to Work
• ID Checks
• References
• Proof of incorporation and up-to-date insurance for Contractors

Tagged as: Data Analysis