> Markdown version of [/jobs/ext/3260517-data-insight-analyst-retail](https://www.wearedevelopers.com/jobs/ext/3260517-data-insight-analyst-retail). 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 Insight Analyst - Retail - **Company:** Sanderson Recruitment Plc - **Location:** London, UK - **Salary:** £130,000.0 - £143,000.0 - **Contract:** Temporary contract - **Skills:** Business Analytics Applications, Big Data, Database Queries, Data Intelligence, SQL Databases - **Published:** September 1, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-443AE1130C98A19F76/ ## About the Role * Strong SQL skills with experience analysing large datasets. * Proven experience in a Data Analyst, Insight Analyst, BI Analyst, Commercial Analyst, or similar role. * Retail experience is essential. * Experience using data to drive operational and commercial improvements. * Strong stakeholder engagement and communication skills. * Ability to translate complex analysis into actionable business recommendations. ## Description This is an exciting opportunity for a commercially minded Data Insight Analyst who enjoys using data to solve business problems, uncover insights, and influence decision-making. You'll work with large operational datasets, leveraging SQL and analytical tools to conduct deep-dive investigations, identify key performance drivers, and deliver actionable recommendations that improve business performance., * Analyse large operational datasets to identify trends, risks, opportunities, and performance drivers. * Conduct deep-dive SQL analysis to support strategic and operational decision-making. * Translate complex data into clear, compelling insights and recommendations for stakeholders. * Partner with Operational, Commercial, and Supply Chain teams to understand business challenges and provide data-driven solutions. * Investigate performance issues, optimise processes, and identify opportunities for continuous improvement.