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

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