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Digital Product Analyst (SQL)

Salary: Competitive Plus Benefits
Location: London Store Support Centre and Home, London, EC1M 6HA
Contract type: Permanent
Business area: Data & Analytics
Requisition ID: 400078541

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.

Digital Product Analyst - Advanced SQL - Digital Analytics - Hybrid Working London/Home

About Sainsbury’s

Sainsbury’s is a business serving millions of customers every day, supported by the UK’s largest loyalty scheme and a constantly evolving digital ecosystem. With over 1.2 billion transactions each year, our data set is unmatched in scale, depth, and complexity. This rich data allows us to build scalable, high‑performance digital products that power exceptional customer experiences. Working in an inclusive and agile environment, you’ll have the freedom to experiment, explore, and solve meaningful, real‑world problems and see your work making a difference for millions of customers across the UK.

Joining Data & Analytics at Sainsbury’s means being part of a fast‑paced, collaborative function at the heart of our digital transformation. You’ll work closely with product, technology, and commercial teams, supported by a centralised analytics community that champions learning, development, and data‑driven decision‑making. We offer flexible working, competitive benefits, and a culture where diverse perspectives are valued and growth is actively encouraged.

About the Role

As a Digital Product Analyst within Sainsbury’s Digital Analytics team, you’ll use data to help our Digital Product and eCommerce teams better understand customer behaviour, optimise experiences, and drive value across our Online Groceries journey. Your insights will directly influence some of the most widely used digital products in UK eCommerce, shaping decisions that impact millions of customer interactions each week.

Working alongside cross‑functional product and trading teams, you’ll translate complex data into clear, actionable recommendations, support product discovery and optimisation, and help embed a culture of evidence‑based decision‑making. You’ll be part of our central Data & Analytics function, giving you access to deep expertise, modern tools, and a strong peer network to support your development and progression.

In This Role You Will

• Identify opportunities to improve customer satisfaction and value and clearly articulate them to Product Managers and stakeholders.
• Deliver actionable insights that inform product strategy, influence product roadmaps, guide prioritisation, and support day‑to‑day decision‑making.
• Quantify the impact of product features and initiatives, highlighting both successes and areas for improvement.
• Define and refine the key metrics that measure product performance and success across our Digital Products.
• Partner with our Digital Analytics Implementation and Data Engineering teams to ensure we reliably capture the right data across our Digital Channels.
• Lead the design of robust experiments (A/B tests), ensuring they are statistically sound and aligned with product objectives.
• Analyse experiment results and translate findings into clear recommendations for Product Teams.
• Drive improvements in analytics methodologies, tooling, and best practices, helping to increase the efficiency, quality, and scalability of insight delivery.

What We're Looking For

• Strong SQL skills for data extraction, analysis and problem solving. Experience with Python is beneficial.
• Experience using digital analytics tools, or a willingness to develop expertise in platforms such as Adobe Analytics or Google Analytics.
• Experience with experimentation and optimisation, alongside a strong understanding of statistical concepts, experimental design and hypothesis testing.
• Ability to communicate complex findings in a clear, simple and compelling way, influencing stakeholders and helping shape product strategy, roadmaps and prioritisation decisions.
• Strong stakeholder management skills, with experience working collaboratively across Product, Engineering, Design and Data teams.
• Confident presenting insights, recommendations and experiment results to both senior and non-technical audiences.
• Experience working in a digital product, eCommerce or customer-facing digital environment, with a strong interest in customer behaviour, emerging trends and the evolving digital landscape.
• Curious, commercially minded and eager to dig beyond the obvious to uncover meaningful insights and opportunities to improve customer outcomes.
• Interest in developing analytics methodologies, tooling and best practices that improve the quality, efficiency and impact of analytics delivery.
• Positive, collaborative attitude with the resilience to navigate ambiguity, embrace change and continuously improve ways of working.

Essential Criteria

• Advanced SQL skills for data extraction, analysis and problem solving.
• Strong stakeholder management and communication skills
• Experience using digital analytics tools, or a willingness to develop expertise in platforms such as Adobe Analytics or Google Analytics.
• Experience working in a digital product, eCommerce or customer-facing digital environment, with a strong interest in customer behaviour, emerging trends and the evolving digital landscape.
• Experience with experimentation and optimisation, alongside a strong understanding of A/B testing, statistical concepts, experimental design and hypothesis testing.

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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).