Retail Media Analyst

Retail Media Data Analyst

Southampton (1 day per week in office) | Up to £50,000

This is an exciting opportunity for a commercially focused Retail Media Data Analyst to join a growing analytics function and help shape the future of retail media performance. You'll work with rich customer data, influence marketing strategy, and deliver insights that drive measurable business impact across a well-established consumer brand.

The Company

They are a leading consumer-focused organisation with a strong customer base and a growing investment in data, analytics, and retail media. Data plays a central role in decision-making, helping teams better understand customer behaviour and marketing effectiveness. With a collaborative culture and a focus on innovation, they offer the opportunity to work on high-impact projects that directly influence commercial outcomes.

The Role

As a Retail Media Data Analyst, you will:

• Deliver insight and analysis across Retail Media, CRM, and Loyalty activities
• Build and evaluate customer audiences and segmentation strategies for marketing activation
• Measure campaign effectiveness, including uplift, incrementality, ROI, and commercial performance
• Produce post-campaign reviews with clear recommendations for future activity
• Analyse customer health metrics including acquisition, engagement, retention, and customer value
• Partner with commercial and marketing stakeholders to demonstrate the value of customer data
• Develop actionable insights that influence audience targeting and campaign strategy
• Contribute to scalable analytical solutions within a collaborative analytics environment
• Monitor industry developments and emerging best practices across retail media and customer analytics

Your Skills & Experience

• Strong commercial experience within the retail sector
• Advanced SQL skills with the ability to work with complex datasets
• Experience using Python or R for analytical projects
• Proven ability to analyse and evaluate marketing campaign performance
• Experience using customer data to inform business decisions and improve marketing effectiveness
• Understanding of statistical methodologies, including hypothesis testing and confidence intervals
• Exposure to cloud-based data platforms such as Databricks, Snowflake, or BigQuery
• Strong stakeholder management and communication skills
• Comfortable working within a collaborative, agile environment