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Location
In office (London)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Sainsbury's scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Sainsbury's is a British supermarket chain headquartered in London, England, and the main business of J Sainsbury plc, which also owns Argos. Founded in 1869 by John James and Mary Ann Sainsbury, it runs supermarkets, convenience stores and online grocery delivery across the United Kingdom and sells clothing under the Tu brand. It hires delivery drivers, store and Argos customer advisors, supply chain coordinators, product managers and technology staff such as identity and AI engineers.

Business Area: Nectar Partnerships

Job Summary: We're looking for an experienced & passionate customer insight analyst, who is ready to deliver impact in a fast-paced & varied role, contributing value to the breadth of analytical capabilities across our loyalty coalition business & its range of loyalty partners across multiple industries.

What we are looking for

  • Analytical Thinking - Collaborate with internal teams and clients to define the analytical approach to broad questions or hypothesises, discuss options with stakeholders, and carry out the proposed analysis. Confidently discuss resulting limitations, caveats and timelines of potential approaches and factors these into final selection.
  • Project Leadership & Delivery - Own complex analytical projects end-to-end, supporting junior team members and ensuring timely, high-quality delivery. Demonstrate clear understanding of analytical resource commitments to stakeholders/clients.
  • Insight Generation & Actionability - Go beyond the data to uncover meaningful insights and translate them into clear, actionable recommendations for stakeholders.
  • Innovation & Continuous Improvement - Drive analytical value by enhancing processes and experimenting with new data sources and methodologies.
  • Stakeholder Relationship Management - Build strong networks across teams and clients to maximize impact and ensure insights are aligned with business needs.
  • Effective Communication & Storytelling - Present complex analytics in a clear, engaging way to non-technical audiences using documents and presentations to adhere to best-practice principles.

What we would like you to have:

  • Advanced user of SQL and ideally R, experience using Snowflake would be advantageous
  • Previous experience of BI tools (e.g. Tableau)
  • At least 3 years of experience in working in the field of data analysis, preferably with a customer focus
  • Advanced user of advanced Excel and related capabilities
  • Prior experience of building propensity models and/ or customer segmentations advantageous
  • Strong interpersonal and team working skills
  • Great communication skills, with the ability to translate data into effective and influential insight

Essential Criteria

  • Advanced SQL capability - strong proficiency in SQL, enabling effective manipulation and analysis of complex datasets.
  • Strong analytical thinking - ability to define analytical approaches, work with stakeholders, and deliver robust analysis.
  • Insight generation & communication - turning data into actionable recommendations and presenting them clearly to non-technical audiences.
At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.

We are committed to being a truly inclusive retailer, so youll be welcomed whoever you are and wherever you work. Around here, theres always the chance to try something new-whether thats as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, well also offer you an amazing range of benefits. Here are some of them:

Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsburys every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related target bonus of up to 10% of salary (which may vary for Nectar360), depending on how we perform.

Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme.

Moments that matter are as important to us as they are to you which is why we give up to 26 weeks pay for maternity or adoption leave and up to 4 weeks pay for paternity leave.

Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

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