> Markdown version of [/jobs/ext/4679442-data-analyst](https://www.wearedevelopers.com/jobs/ext/4679442-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). --- # Data Analyst - **Company:** Consula group ltd - **Location:** Manchester, United Kingdom - **Salary:** £43,000 - £46,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Infrastructure, Power BI, Standard Sql, SQL Databases, Tableau (Software) - **Published:** November 12, 2026 - **Apply:** https://www.reed.co.uk/jobs/data-analyst/57561564 ## About the Role * Experience in a data analyst, insight analyst or similar role, ideally in retail, e-commerce or a consumer business. * Strong SQL and Excel skills. * Experience with a BI tool such as Power BI or Tableau. * A commercial mindset - you care about what the numbers mean for the business, not just the numbers themselves. * Excellent attention to detail and the ability to work to tight trading deadlines. * Clear, confident communication with non-technical colleagues. * Manchester-based or able to commute to the head office regularly. What You Can Expect * Hybrid working with genuine flexibility. ## Description * Produce weekly and monthly trading reports for senior leadership and department heads. * Analyse customer purchase patterns, segmentation and lifetime value to inform marketing and ranging decisions. * Build and maintain self-serve dashboards so teams can access the numbers they need. * Write SQL to extract data from the group data platform and combine it with other sources. * Support promotional planning and post-campaign analysis with clear, actionable insight. * Work with the supply chain team to identify efficiencies and forecast demand. * Champion data quality, documenting definitions and resolving inconsistencies. * Present findings and recommendations to stakeholders at all levels. A Typical Day You might begin by reviewing the weekend trading figures and flagging anything unusual to the trading team, before spending the morning building a dashboard for an upcoming range review. After lunch you could be deep in a customer segmentation piece, then finish the day talking a category manager through what the data says about an underperforming line. The pace is quick, the questions are varied, and your work is used immediately.