Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst – Data Analytics, SQL, Python - Commercial & Clothing

Sainsbury's
London
1 week ago
Create job alert

Lead Data Analyst – Data Analytics, SQL, Python - Commercial & Clothing

Why join us


Joining the Commercial & Clothing Analytics team at Sainsbury's offers you the chance to work with one of the most exciting retail data sets in the UK and play a pivotal role in shaping strategic priorities that drive business success. In a fast-paced and collaborative environment, you will have the opportunity to lead and deliver impactful analytical projects, mentor junior analysts, build strong relationships across the organisation, and translate complex data into compelling narratives that inform and inspire decision-making. With a focus on quality, curiosity, and continuous improvement, you will be empowered to make a real difference while embracing our core values of Owning It, Making it Better, and Being Human.


What you'll do


As the Lead Analyst in the Commercial & Clothing Analytics team at Sainsbury's, you will play a pivotal role in unlocking value from one of the UK's most dynamic retail data sets. Your responsibilities will include owning the end-to-end delivery of analytical projects, coaching and developing junior analysts, building strong relationships across the business, translating complex data into compelling narratives, questioning assumptions, and proposing innovative solutions. Your numerate background, strong SQL and Python skills, proven track record of delivering actionable insights, and high attention to detail will be essential as you drive decision-making and business change through impactful analysis and storytelling.


Who you are


As the Lead Analyst in Commercial & Clothing Analytics at Sainsbury's, you are a highly skilled and experienced professional with a strong background in analytics and data-driven decision-making. Your expertise in SQL, Python, and data storytelling, combined with your commercial acumen and proactive mindset, allows you to deliver actionable insights that drive business change and support strategic priorities. You excel in building strong relationships, coaching junior analysts, and translating complex data into compelling narratives that inform and inspire stakeholders across the organisation. Your ability to challenge assumptions and propose innovative solutions reflects your commitment to continuous improvement and delivering high-impact analysis that adds value to the business.


Essential Criteria

Demonstrable proficiency in SQL and Python for data analysis and manipulation (experience with Snowflake, R, GitHub, and Jira is advantageous but not required). Proven experience in delivering actionable insights that have led to measurable business change or impact. Ability to translate complex data into clear, compelling narratives, evidenced through data storytelling or presentation work. Experience in managing or mentoring analysts, including shaping their development and overseeing analytical workload. Educational degree or professional background in a numerate discipline, such as mathematics, statistics, or a related analytical field.

Please note that this job advert may close earlier than the stated deadline if we receive a high volume of applications.


LI-JH1

We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you’d think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us. 

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 for a range of our benefits (note, length of service and eligibility criteria may apply). 

Related Jobs

View all jobs

Lead Data Analyst - Data Analytics, SQL, Python - Commercial & Clothing

Data Analyst

Senior Data Analyst

Senior Data Analyst

Lead Data Analyst

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.