Analyst - SQL/Python
London, London, United Kingdom
Sainsbury's
Shop online at Sainsbury's for groceries, clothing, homewares, electricals, financial services and more. Together we’re helping everyone eat better.Sainsburys Tech - Analyst
We are a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. This equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match.
We have one of the most exciting data sets in the country, from the insights gained, we build scalable, high-performance products using innovative technology that give our customers an amazing shopping experience e.g., our award-winning Smartshop app. In an inclusive, agile environment, you will have the space to be curious, to experiment, and to solve real-world challenges. And you will get to see your creations in the hands of millions of people across the UK.
In Applied Data & Analytics (ADA), you will stretch the imagination of what the power of data and insights can bring to how we do things. You will help to unlock the value of Sainsbury’s enormous multi-brand, multi-channel data asset in a centralised ‘mini consultancy’ style analytics team that supports wide parts of the business make data driven decisions. You will use your intense curiosity to find creative ways to land impactful analysis that directly supports the Sainsbury’s strategy of ‘First Choice For Food’, ‘Loyalty Everyone Loves’, ‘More Argos, More Often’ and ‘Save & Invest To Win’.
This role sits within the E-Commerce Operations Analytics team. Working across Sainsbury’s, Argos and Tu, our remit is to help the business identify opportunities to drive efficiencies within our online operations, as well as supporting strategies to offer a market-leading online proposition to our customers.
As an Analyst you will:
- Be part of the E-Commerce Operations Analytics team, liaising closely with members of the Transformation, Food Fulfilment Product, Digital Propositions and Planning teams amongst others.
- Apply your analytical skills together with business knowledge of how we operate to investigate root causes of issues, uncover opportunities for optimisation and measure the impact of change projects.
- Own projects, develop & maintain relationships with your stakeholders, championing a collaborative approach to requirements gathering and the formation of compelling analysis.
- Move at pace, whilst still delivering high quality, accurate, professional outputs that land the real truths that sit within the data. You will proactively ensure you are always in touch with the ‘Why’ behind every project – understanding the purpose of your analysis, and which decisions the business is looking to inform.
- Deliver insights and recommendations through high quality data storytelling. We love data and deriving value from it. The key to the value is in being able to build and tell compelling stories based on this data.
- Embrace our values of Owning It, Making it Better and Being Human.
What you need to know and show
- A highly numerate background. You may have a degree in mathematics, statistics or another analytical subject or analytical work experience.
- SQL knowledge is essential. Experience using Python is also advantageous.
- A proven history of delivering actionable insights and demonstrable business change through the application of analytics.
- Brilliant communication skills, having the ability to explain complex information in simple terms.
- An inquisitive mind, with the curiosity to be constantly on the lookout for opportunities and the ability to logically solve problems.
- High attention to detail.
- The ability to partner brilliantly with the business to understand their problems and deliver value, applying commercial acumen and communicating/connecting in a compelling way.
- Keen to learn and develop. Proactive about driving your career development and progression.
- A high level of team contribution – looking for opportunities to provide input and support across the wider analytics community.
In return you will get:
- Colleague discount across the multi-brands – Sainsbury’s, Argos, and Habitat
- Holiday allowance
- Bonus scheme
- Pension plan
- Special offers on gym memberships, restaurants, holidays, retail vouchers and more
- Flexible working
Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.
#LI-JH1
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you’ll realise that ours is a modern software engineering environment because it has to be. We’ve made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech.
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 get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. 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 additional 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, pay 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 www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile E-commerce Engineering Mathematics Python Scrum SQL Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave Salary bonus
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