Analyst - Retail

Sainsbury’s Group; City of Westminster; On-site; GBP 52,000 - 68,000; Full time

Benefits offered by this job

Colleague discount 10%–15%

Pensions scheme

Performance-related bonus up to 10%

Flexible working

Annual leave with option to buy extra

Job summary

Sainsbury’s Group is seeking an Analyst to deliver analytics projects from problem framing to insight and recommendation. You will work with Retail Transformation and the wider business, translating challenges into analytical questions and using SQL and Python to explore large datasets.

You will turn findings into practical recommendations, communicate through data visualisation and storytelling, and ensure analysis quality by testing assumptions and addressing uncertainty.

Qualifications

• Strong SQL experience with large datasets.
• Python for data manipulation, analysis and visualization.
• Experience with at least one analytical or statistical modelling technique (regression, classification or forecasting).
• Knowledge of distributions, sampling, significance, correlation and uncertainty in analysis.
• Translate business problems into analytical approaches and deliver actionable insights.

Responsibilities

• Deliver analytics projects from problem framing to insight and recommendation.
• Translate challenges into clear analytical questions for stakeholders.
• Combine data from multiple sources and apply exploratory analysis.
• Develop and evaluate analytical models and measure impact of trials and operational changes.
• Communicate findings through data visualization and storytelling; ensure data quality and test assumptions.

Skills

SQL

Python

Statistical Modeling

Data Visualization

Education

Bachelor's degree in a related field

Tools

Power BI

Tableau

Excel

Job description

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

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. 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.

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 recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working.
• 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).