Analyst – Retail

Sainsbury’s; City Of London; Hybrid; GBP 42,000 - 66,000; Full time

Benefits offered by this job

Colleague discount

Pensions

Life cover

Performance bonus (up to 10%)

Annual leave & holiday allowance

Cycle to work

Health cash plans

Pay advances

Job summary

Sainsbury's Limited is seeking an Analyst to deliver analytics projects across Retail Transformation Analytics in London. You will translate business challenges into analytical questions, using SQL and Python to explore large, complex datasets, and present findings with clear visualisations.

You will work closely with stakeholders to define problems, build models, test hypotheses and measure the impact of trials and operational changes, driving actionable recommendations that improve customer

Qualifications

• Demonstrable strong experience using SQL to query, combine and analyse large or complex datasets.
• Demonstrable experience using Python for data manipulation, analysis and visualisation.
• Practical experience applying at least one analytical or statistical modelling technique, such as regression, classification or forecasting, including evaluating its performance, assumptions and limitations.
• Demonstrable knowledge of statistical concepts, including distributions, sampling, statistical significance, correlation and uncertainty, with evidence of applying them to analysis.
• Experience translating a business problem into an analytical approach and producing actionable insight or recommendations for stakeholders.

Responsibilities

• As an Analyst, you will deliver analytics projects from understanding the business problem through to insight and recommendation.
• Day to day, you could be combining data from different sources, applying exploratory and statistical analysis, developing and evaluating analytical models, or measuring the impact of trials and operational changes.
• You will turn your findings into practical recommendations, communicate them clearly through data visualisation and storytelling, and make sure your analysis is reliable by checking data quality, testing assumptions and explaining limitations or uncertainty.

Skills

SQL

Python

Modelling

Statistics

Stakeholder comms

Job description

Salary: Competitive Plus Benefits
Location: London Store Support Centre and Home, London, EC1M 6HA
Hours: Full time
Contract type: Permanent
Business area: Data & Analytics
Closing date: 24 November 2026
Requisition ID: 400095909

About the team

We are a multi-channel, multi-brand business serving millions of customers every day, supported by the UK's largest loyalty scheme and an evolving range of digital platforms. With more than 1.2 billion transactions each year, our data offers a scale, depth and complexity that creates exciting opportunities to solve real customer and operational challenges.

This role sits within Retail Transformation Analytics, part of the Chief Product and Analytics Office. Working across Sainsbury's and Argos, the team partners with colleagues across the business to identify opportunities, test ideas and develop analytical solutions that improve store processes, colleague experiences and the way we serve customers.

More about the role

As an Analyst, you will deliver analytics projects from understanding the business problem through to insight and recommendation. You will work closely with stakeholders across Retail Transformation and the wider business, translating their challenges into clear analytical questions and using SQL and Python to explore large, complex datasets.

Day to day, you could be combining data from different sources, applying exploratory and statistical analysis, developing and evaluating analytical models, or measuring the impact of trials and operational changes. You will turn your findings into practical recommendations, communicate them clearly through data visualisation and storytelling, and make sure your analysis is reliable by checking data quality, testing assumptions and explaining limitations or uncertainty.

More about you

You use analytical thinking and technical capability to solve real business problems. You can break a question into a logical analytical approach, select an appropriate technique and explain why it fits the problem. You are comfortable working with SQL and Python and have applied statistical concepts and modelling techniques in practice.

You look beyond what the data says to explain why it matters and what action could follow. You communicate clearly with technical and non-technical audiences, work collaboratively with colleagues and stakeholders, and have the curiosity to ask questions and challenge assumptions. You take ownership of your work and development, with a focus on accurate, useful analysis and better outcomes for customers, colleagues and the business.

• Demonstrable strong experience using SQL to query, combine and analyse large or complex datasets.
• Demonstrable experience using Python for data manipulation, analysis and visualisation.
• Practical experience applying at least one analytical or statistical modelling technique, such as regression, classification or forecasting, including evaluating its performance, assumptions and limitations.
• Demonstrable knowledge of statistical concepts, including distributions, sampling, statistical significance, correlation and uncertainty, with evidence of applying them to analysis.
• Experience translating a business problem into an analytical approach and producing actionable insight or recommendations for stakeholders.

#DataAndAnalytics

#Analytics

#LI-CM1

We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's 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, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. 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 bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's 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, salary 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).