At a Glance
- Tasks: Lead a team to deliver strategic insights and drive data-driven decision-making.
- Company: Join Sainsbury's, a leader in retail innovation and analytics.
- Benefits: Enjoy discounts, flexible working, private healthcare, and performance bonuses.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
- Why this job: Make a real impact using data and AI in a dynamic environment.
- Qualifications: Experience in analytics, leadership, and strong SQL and Python skills.
The predicted salary is between 56700 - 69300 £ per year.
Joining Sainsbury's as a Commercial Analytics Manager means being at the forefront of a dynamic and innovative environment where your work directly impacts strategic commercial decision-making. With access to one of the richest datasets in UK retail and cutting-edge technology tools, you will lead a talented team of analysts to deliver valuable insights and drive measurable value across the organisation. Embracing a collaborative and inclusive culture, we prioritise work-life balance, flexibility, and continuous learning, providing you with the opportunity to contribute to the transformation of a truly AI-powered business while making a difference in the real world.
As the Commercial Analytics Manager at Sainsbury's, you will lead a team of analysts in delivering strategic insights, tools, and recommendations that directly impact decision-making by senior leaders across the organisation. You will own the analytics roadmap for your domain, working closely with stakeholders to translate complex business questions into actionable solutions that drive measurable value. Your role will involve building and enhancing analytical products, developing new data products and solutions using statistical analyses and machine learning, and championing best practices to ensure transparent, extensible, and lasting solutions. Your ability to connect analysis to business value, lead a high-performing team, and drive commercial outcomes through data-driven insights will be key to your success in this role.
As a Commercial Analytics Manager at Sainsbury's, you are a strategic and analytical thinker with a strong commercial mindset and a passion for solving complex business problems using data-driven insights. With your leadership skills and ability to connect analysis to tangible business value, you excel in guiding a team of analysts to deliver impactful recommendations that drive strategic decision-making across the organisation. Your expertise in translating stakeholder priorities into measurable value, building analytical products, and leveraging modern data tooling sets you apart as a key player in advancing Sainsbury's analytics capabilities and contributing to the company's data-led culture.
Essential Criteria
- Experience leading, coaching and developing high-performing analytics teams.
- Strong commercial acumen with the ability to translate data and insight into business value.
- Proven experience influencing senior stakeholders and shaping decision-making.
- Ability to solve complex, ambiguous business problems and turn them into actionable analytics roadmaps.
- Excellent data storytelling and communication skills, tailoring insights to technical and non-technical audiences.
- Strong hands-on SQL skills.
- Strong hands-on Python skills.
- Practical experience applying statistics, experimentation/test-and-learn and machine learning techniques.
- Experience building analytical products, tools or data solutions that drive business outcomes.
- Experience applying AI, LLMs or machine learning solutions to real-world commercial challenges.
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 20% 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, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to 10k, 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.
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 in 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.
Analytics Manager in London employer: Sainsbury's Bank
Sainsbury's is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a strong commitment to employee development, you will have the opportunity to grow your skills while working on cutting-edge data solutions that impact millions of customers across the UK. Enjoy a comprehensive benefits package, including generous discounts, flexible working options, and a supportive environment that values diversity and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sainsbury's Bank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Manager at Sainsbury's Bank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sainsbury's Bank.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Manager at Sainsbury's Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Manager in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sainsbury's Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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 Bank. 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!
How to prepare for a job interview at Sainsbury's Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sainsbury's Bank!
✨Prepare for Case Studies
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.