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.