> Markdown version of [/jobs/ext/3667210-retail-data-analyst](https://www.wearedevelopers.com/jobs/ext/3667210-retail-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Retail Data Analyst - **Company:** Harnham - **Location:** London, UK - **Experience:** Starter - **Salary:** £50,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Big Data, Power BI, SQL Databases, Tableau (Software), Data Analytics - **Published:** October 10, 2026 - **Apply:** https://www.reed.co.uk/jobs/retail-data-analyst/57442707 ## About the Role * Strong advanced Excel and SQL as well as experience with Power BI or Tableau. * Experience analysing customer, commercial, marketing or retail data. * Ability to work with large datasets and generate actionable insights and present that back to the team. * Experience building dashboards and management reporting. * Strong communication and stakeholder management skills. * Experience with customer segmentation, campaign analysis or loyalty programmes is beneficial ## Description This is an opportunity for a Data Analyst to join a retail fashion buisness delivering insight across retail, customer and commercial functions. You'll work with stakeholders across the organisation, using data to support decision-making and performance improvement. The Company They are a consumer-focused business with an established retail presence and an expanding data function. Data is central to how they understand customer behaviour, measure performance and support growth. The role sits within a collaborative team and offers exposure to a range of business areas. The Role You will: * Analyse customer, retail and finance data to support business decisions. * Provide insights to support new store openings and expansion plans. * Measure store performance, customer satisfaction and operational KPIs. * Assess the impact of retail initiatives, events and pop-up activity. * Analyse sales cannibalisation across stores and channels. * Support forecasting and predictive modelling projects. * Produce reporting on customer behaviour, purchasing patterns and product trends. * Identify opportunities to improve customer retention, loyalty and growth. * Measure the performance of customer engagement campaigns across multiple markets. * Build customer segments and analyse targeting strategies. * Evaluate A/B test results and campaign outcomes. * Develop and maintain dashboards and reporting solutions. * Present insights and recommendations to senior stakeholders.