Full job description

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


How to ApplyIf you’re interested in combining customer analytics, retail media, and commercial insight in a high-impact role, apply today to learn more.