Highly successful retailer are seeking a talented Retail Data Analyst to join their Marketing team in Wakefield.

ONLY CANDIDATES WHO HAVE RETAIL DATA ANALYST BACKGROUND WILL BE CONSIDERED

This is an exciting opportunity to play a key role in delivering analytical insight and reporting that supports marketing strategy, enhances customer engagement, and drives commercial decision-making across the business.

The successful candidate will work closely with senior stakeholders, including the Marketing Director, to deliver customer insights, campaign analysis, and data-driven recommendations that shape business performance.

This role is office based in Wakefield (5 days a week)

Key Responsibilities

• Ensure the quality, accuracy, and integrity of marketing data is maintained to a high standard and aligned across all systems.
• Support the Marketing Director with analysis of customer acquisition, retention, and churn across all channels to inform marketing strategy.
• Produce customer selections and segmentation for direct mail, CRM campaigns, email marketing, and research activity.
• Analyse multiple data sources to produce weekly, monthly, and quarterly reporting for marketing, retail, buying, and merchandising teams.
• Deliver campaign and promotional analysis, measuring performance and return on investment, with clear recommendations for future activity.
• Use customer data to improve targeting, optimise campaign performance, and increase marketing efficiency.
• Provide customer insight and analysis to support the development of marketing strategy.
• Support forecasting and budget planning through analytical modelling and reporting.
• Collaborate with stakeholders across the business to translate complex data into clear, actionable insights.
• Support ongoing improvements to marketing reporting and data processes.
• Undertake ad hoc analysis and projects as required.

Skills & Experience Required

• Graduate calibre with experience in marketing analytics, customer analysis, or a similar analytical role.
• Strong SQL skills, including CTEs, window functions, subqueries, and query optimisation.
• Advanced Excel skills, including Pivot Tables, complex formulas, and Power Query.
• Experience working with large relational databases.
• Ability to interpret and communicate analytical findings clearly to non-technical stakeholders.
• Good understanding of marketing performance metrics and customer segmentation techniques (e.g. RFM).
• Experience creating and maintaining dashboards in Power BI.
• Strong analytical mindset with excellent attention to detail.
• ONLY CANDIDATES WHO HAVE RETAIL DATA ANALYST BACKGROUND WILL BE CONSIDERED