Responsibilities

• Deliver high-quality analysis across Retail Media, CRM and Loyalty with a clear focus on customer behaviour, audience performance, and commercial outcomes.
• Build and evaluate customer audiences and segments for Retail Media use cases, supporting activation through group-supported platforms and partner channels.
• Measure and report on campaign performance, including incrementality, uplift, ROI, and contribution to sales, margin, and customer engagement.
• Deliver post-investment reviews (PIRs) for CRM and Retail Media activity, identifying what worked, what didn’t, and what should change next time.
• Support the definition and tracking of customer health metrics, including acquisition, engagement, frequency, churn, and long-term value.
• Partner with Retail Media teams to help demonstrate the value of first-party data to internal and external stakeholders, including suppliers.
• Produce clear, decision-ready insights that influence campaign design, audience strategy, and prioritisation, not just reporting for reporting’s sake.
• Work within a matrix of analysts and data specialists, contributing to shared analytical products and scalable approaches rather than one-off solutions.
• Support the growth of B&Q’s Retail Media proposition with robust insight and performance measurement.
• Bring external perspective on Retail Media, CRM, and personalisation, keeping up with industry trends, competitor activity, and emerging best practice.

Requirements

• Previous experience gained from working within the Retail industry is essential
• You can write complex SQL queries and have had experience working with other languages such as Python or R.
• You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within the business.
• You can design, execute, and evaluate marketing campaigns, optimise customer journeys, and increase marketing ROI
• You can also use statistical methods such as hypothesis testing, confidence intervals, and p-values to draw valid conclusions and recommendations
• You have familiarity with cloud-based analytics platforms such as Databricks, Snowflake, or BigQuery.
• You are comfortable working in a matrix and agile environment, adapting to changing priorities.

Benefits

• award-winning pension scheme
• bonus
• ShareSave options
• 6.6 weeks holiday
• payroll giving
• Employee Assistance Programme
• shopping discounts
• colleague wellbeing benefits
• and lots more!