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We’re 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. All of this equals over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match.

We don’t think we’re exaggerating when we say we have the most exciting data set in the country. And from the insights gained, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing shopping experience – like our award-winning Smartshop app. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real-world challenges. And you’ll get to see your creations in the hands of millions of people across the UK.

In the Chief Data and Analytics Office, you’ll stretch the imagination of what the power of data and insights can bring to how we do things. You’ll 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. And you’ll use your intense curiosity to find creative ways to land impactful analysis that directly supports the Sainsbury’s strategy of ‘win in food’, ‘brands that deliver’, and ‘save to invest’.

A bit about the role

You’ll be working in the Applied Data & Analytics (ADA) function as a Digital Analyst reporting into the Analytics Manager.

This role will use our comprehensive data, industry leading tools and data visualisation to understand the behaviour on our digital channels for Food, General Merchandise and Clothing then feed that insight into teams across the business. This is achieved by a mix of project-based work, day-to-day insight and analysis, as well as supporting stakeholders self-serve.

This role suits an experienced Analyst, looking to line manage and build leadership skills, as you will be line managing Associate Analyst(s).

You will:

• Provide insight into behaviour on our digital channels and present this in a variety of different ways from a quick conversation to presenting a deep dive insight pack or a self-serve dashboard, providing commentary and making recommendations.
• Support and collaborate with digital and broader analytics teams to prioritise and deliver the backlog.
• Look for new ways to develop existing reporting and processes through automation and optimisation along with research in to emerging technologies and ‘best practice’.
• Collaborating with other teams to make sure we’re capturing the right data, in the right place, at the right time.
• Drive your own development, while you’ll have ample support and training where required, with the constantly evolving landscape in data and analytics, it’ll be important to identify your development needs and the best way to grow them.
• Line manage Associate Analyst(s).

What I need to know and show

• Good experience with Adobe Analytics is required. There is a focus on Adobe governance and the use of the Admin Console with Adobe. Experience of these on applications would be highly desirable.
• An agile and innovative thinker, you’ll be able to think creatively with a logical and methodical approach to problem solving and coming up with ideas.
• Excited by digital and retail, you’ll can be curious about data and the adoption of new technologies and tools.
• A proven track record of delivering actionable insight and demonstrable business change through the application of analytics.
• Self-starter with initiative and good self-management skills, able to prioritise and work collaboratively as a valuable member of a team in a fast-paced environment.
• Passionate about your own development, adaptable and have a growth mindset.
• Excellent communicator, credible and articulate, with good presentation and relationship building skills. Able to build trust with stakeholders and explain technical concepts to non-technical audiences.
• As we try to bridge the gap between classic digital data and broader business data, experience with any sort of coding (e.g. SQL, Python/R, VBA or others) would be very valuable but not essential as training can be provided.
• Familiarity with data visualisation techniques or tools (e.g. Tableau, QlikView, Microsoft Power BI or MicroStrategy) would be useful but not essential.

In return you’ll get:

• Colleague discount across the multi-brands – Sainsbury’s, Argos, Tu Clothing and Habitat
• Holiday allowance
• Bonus scheme
• Pension plan
• Special offers on gym memberships, restaurants, holidays, retail vouchers and more

Flexible working and job share conversations are encouraged. Across our multi-brands, we’re proud to be an equal opportunities employer that champions a diverse and inclusive culture. If you’re reading this, even if you’re not 100% sure you’re there with your experience, we’d still love to hear from you.

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