Supplier Analytics Analyst
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-11
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager
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 in 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.
Based in the Sainsbury’s Office in Holborn, we’re recruiting an ambitious Analyst to work closely with decision makers in Nectar
360 & Argos to drive our media and consultancy proposition to our GM clients. Nectar
360 is the company behind Nectar, the UK’s largest loyalty programme, with 18m members across the country.
Do you take satisfaction in seeing your recommendations implemented in the ‘real world’? Are you analytically creative and motivated by new challenges? Do you have a passion for working with data to drive insight and improve customer understanding?
When you join us you will be proposing and developing a new commercial opportunity roadmap, developing new insight propositions to our Argos supplier clients. You will also be providing world-class customer insights to our big tech and GM strategic clients within our media business. Utilising the Nectar data to understand how we can personalise the customer experience and drive business impact, this role is a fantastic opportunity to apply your people and analytical leadership skills.
The role, reporting into a Lead Analyst, is based at Holborn 1- 2 days a week with home working expected the remainder of the time. Occasional travel to our clients is required.
What will you be doing?- Use your experience and knowledge to identify and propose innovative analytical solutions leveraging both Nectar and Argos data across a range of areas.
- Providing in depth analysis and presenting back to our strategic tech and GM clients within the media business.
- Proposing and developing brand new Insight and Analytical commercial propositions for our Argos suppliers.
- Work collaboratively with the Retail Consultancy and Client Service teams to grow relationships and revenue from within our client base.
- Work closely with a multi-disciplined team of retail and market research experts, to help our clients better understand customer behaviour.
- You’ll develop strong working relationships with internal stakeholders and clients, and be an ambassador of your team within Nectar and clients.
- Use your strong communication skills to demonstrate the value of Nectar
360 services and products. - Ensuring output is always accurate and actionable, with appropriate technical expertise and recommendations.
- Strong experience, ideally in a client or stakeholder facing analytics role.
- Experience in retail / consumer insight.
- Proven ability to explore business performance and deliver analysis that has commercial impact.
- Excellent communication skills with proven success of collaborating with internal stakeholders and clients.
- Strong experience of customer databases and analytical tools (including SQL, VBA, R or Python).
- A proven track record of process improvement or automation.
- Experience of customer data and the loyalty industry is desirable.
- Experience of SKU level analytics is desirable.
- Experience of developing outputs in a BI Tool such as Tableau is desirable.
- Experience of optimal application of statistical and data science techniques is desirable (regression models, clustering, statistical tests).
- You’re looking to grow your career in a fast paced, commercial environment.
- You’re…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: