At a Glance
- Tasks: Lead analytics for Tu Clothing, turning data into actionable insights and optimising digital experiences.
- Company: Join Sainsbury's, a leading retailer with a commitment to inclusivity and growth.
- Benefits: Enjoy flexible working, competitive salary, discounts, and a supportive culture.
- Other info: Access to modern tools, deep expertise, and excellent career development opportunities.
- Why this job: Make a real impact on customer behaviour and digital performance in a dynamic environment.
- Qualifications: Experience in eCommerce analytics, strong stakeholder management, and proficiency in SQL required.
The predicted salary is between 40000 - 50000 £ per year.
As a Lead Analyst within Sainsbury’s Digital Analytics team, you’ll use data to help our Tu Clothing stakeholders better understand customer behaviour, optimise digital experiences, and identify opportunities to drive value across the Tu Clothing online journey. This role sits across a mixed eCommerce and digital product environment, with the majority of the focus centred on supporting the Tu Clothing brand through insight, analysis, and opportunity identification, while also partnering with teams contributing to the product roadmap.
You’ll 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’ll build strong relationships with Tu Clothing stakeholders, acting as a trusted analytics partner and helping to ensure the team is focused on the work that will deliver the greatest impact. You’ll also line‑manage an Associate Analyst, supporting their development and helping to build capability within the team.
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 own development and progression. We offer flexible working, competitive benefits, and a culture where diverse perspectives are valued and growth is actively encouraged.
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.
- 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.
We are committed to being a truly inclusive retailer so you’ll be welcomed whatever 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.
- Colleague discount: save 10% online and in‑store at Sainsbury's, Argos, TU, and Habitat, with a periodic increase to 15% at points during the year.
- Pension scheme and life cover.
- Eligible for a performance‑related bonus of up to 10% of salary, depending on company performance.
- An annual holiday allowance, with the option to buy up to an additional week of holiday.
- Other benefits include season ticket loans, cycle‑to‑work scheme, health cash plans, salary advance, and access to a wide range of retailer discounts.
- Employee assistance programme.
- Maternity or adoption leave up to 26 weeks’ pay, and paternity leave up to 4 weeks’ pay.
Lead Analyst employer: Sainsbury's
Sainsbury's Supermarkets Ltd is an exceptional employer, offering a dynamic work environment in London that fosters growth and innovation. As a Lead Analyst, you'll benefit from flexible working arrangements, competitive pay, and a comprehensive benefits package, including discounts across various brands and a strong commitment to employee development. Join a culture that values diverse perspectives and encourages you to make a meaningful impact on the Tu Clothing brand through data-driven insights.
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We think this is how you could land Lead Analyst
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We think you need these skills to ace Lead Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sainsbury's. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
