Location
London, London

Hours
Full Time

Salary
Negotiable

About the Role
Join Sainsbury's Customer Analytics team as an Associate Analyst, where you will drive impact through data and analytics to support business decisions. You will be responsible for deriving insightful findings, presenting them effectively, and contributing to actionable recommendations. This role involves applying foundational coding skills, data visualisation, and analytical methodologies to help bring the customer into the decision-making process. Working within a technically advanced and commercially focused Data & Analytics team, you will tackle complex challenges at scale, innovate with one of the richest retail datasets in the UK, and contribute to powering Sainsbury’s Next Level Strategy using AI and advanced analytics. You will manage analytical requests independently, balance priorities, and communicate insights clearly to stakeholders, helping shape the future of retail through data-driven solutions.

Experience
- Foundational knowledge of SQL including functions, code structure, and logic
- Previous analytical experience applying insights to business questions
- Exposure to coding and data visualisation tools such as Power BI or Python is advantageous

About you
- Innovative mindset with a passion for problem-solving
- Strong analytical thinking with the ability to identify relevant metrics, analyse trends, and provide contextual insights
- Confident communicator able to translate complex methodologies and results to non-technical audiences
- Ability to manage projects independently, prioritise tasks, and balance ad-hoc demands
- Curiosity and enthusiasm for exploring and understanding analytical problems

Qualifications
- University degree (2:1 or higher preferred) with a numerate background is desirable but not mandatory
- Basic coding skills, ideally in SQL, with interest in other analytical tools
- Knowledge of BI tools such as Power BI is beneficial
- Understanding of common analytical methodologies and operational governance including data protection and quality assurance