Location
London / Hybrid Working (London/Home)

Hours
Full Time

Salary
Negotiable

About the Role
As a Lead Analyst within Sainsbury's Digital Analytics team, you will use data to help Tu Clothing stakeholders better understand customer behaviour, optimise digital experiences, and identify opportunities to drive value across the Tu Clothing online journey. This role operates within a mixed eCommerce and digital product environment, primarily supporting the Tu Clothing brand through insight, analysis, and opportunity identification, while partnering with teams contributing to the product roadmap. You will play a key role in shaping and prioritising an analytics backlog that supports both strategic decision-making and day-to-day optimisation. Alongside delivering high-quality analysis, you will build strong relationships with Tu Clothing stakeholders, acting as a trusted analytics partner and ensuring the team focuses on work that delivers the greatest impact. You will also line manage an Associate Analyst, supporting their development and helping to build capability within the team. As part of the central Data & Analytics function, you will have access to deep expertise, modern tools, and a strong peer network to support your development and progression. Sainsbury's offers flexible working, competitive benefits, and a culture where diverse perspectives are valued and growth is actively encouraged.

Key Responsibilities
Own the analytics relationship with Tu Clothing stakeholders, building strong partnerships and a clear understanding of priorities, opportunities, and challenges. Shape, prioritise, and manage the analytics backlog to drive improvements in customer experience, commercial performance, and digital effectiveness. Deliver clear, actionable insight into customer behaviour and performance across digital channels, using a range of outputs from quick analysis to deep dives and dashboards. Support stakeholders in understanding performance, customer journeys, and key trends to inform decision-making across eCommerce and digital product. Collaborate across digital product, trading, engineering, and analytics teams to support roadmap decisions, ensure robust data capture, and align work to business needs. Quantify the impact of initiatives, features, and changes, contributing to meaningful performance measures and highlighting opportunities, risks, and next steps. Support experimentation and best practice by applying A/B testing principles and improving reporting, processes, and ways of working. Lead analytical projects and line manage an Associate Analyst, providing coaching, direction, and development support.

About Sainsbury's Data & Analytics
Data sits at the heart of how Sainsbury's operates, innovates, and serves customers. The Data & Analytics team is building a technically advanced, commercially focused, and impactful capability, powering the Next Level Strategy and helping to create a Sainsbury's powered by industry-leading AI algorithms. Using data, technology, and advanced analytics, the team drives 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. You will tackle complex challenges at scale, create measurable impact, and grow alongside brilliant colleagues. Success here combines business understanding, technical expertise, curiosity, and a natural instinct for problem-solving. Join Sainsbury's and help shape the future of retail through data and AI.

Experience
- Strong experience in digital product or eCommerce analytics, with the ability to turn data into clear, actionable insight on customer behaviour and digital performance.
- Excellent stakeholder management, with a track record of building trusted relationships across multiple business areas.
- Experience leading analytical workstreams, managing priorities, and driving delivery.
- Solid digital analytics knowledge, with experience using tools such as Adobe Analytics or Google Analytics.
- Proficient in SQL for data extraction, manipulation, and analysis across large datasets.
- Good understanding of A/B testing and experimentation, and how it supports data-led decision-making.

About You
You are a collaborative and proactive individual who thrives in a fast-paced environment. You combine strong business understanding with technical expertise and curiosity. You have a natural instinct for problem-solving and enjoy building trusted relationships to influence and drive impact. You are passionate about data and analytics and eager to support and develop others within your team.

Qualifications
While specific qualifications are not detailed, a strong background in digital analytics, data science, or a related field is expected. Commitment to continuous learning and development is essential, supported by access to modern tools and a strong peer network within the organisation.