Lead Analyst – SQL / Python
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 is based 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 a Lead Analyst you will:
- Sit within the E-Commerce Operations Analytics team, liaising closely with members of the Transformation, Food Fulfilment Product and Digital Propositions and Planning teams amongst others.
- Be an Analytics Lead for a team of high calibre analysts, supported by an analytics manager in utilising our data assets to establish the realisation of the business strategy.
- Manage 2 direct reports and coach junior analysts in the team.
- Assist in planning, prioritising, and delegating workload to help the business achieve their strategic aims.
- Apply your analytical knowledge to business problems recommending and implementing the analytical approach.
- Lead 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.
- Advanced SQL knowledge is essential for the role
- At least intermediate Python knowledge would be preferable.
- Advanced analytical skills and a proven history of delivering actionable insights and demonstrable business change through the application of analytics.
- Line management or experience within mentoring roles is preferable.
- 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. Pro-active 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.
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.
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