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Digital Product Analyst; SQL

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Sainsbury's
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 55000 - 75000 GBP Yearly GBP 55000.00 75000.00 YEAR
Job Description & How to Apply Below
Position: Digital Product Analyst (SQL)
Location: Greater London

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.

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…
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