Associate Analyst – SQL, Snowflake, Python or R
Closing Date: 06/11/2024
Why join us
Joining us at Sainsbury's means being part of a dynamic and innovative multi-channel, multi-brand business that serves millions of customers every day. With the largest loyalty scheme in the UK and cutting-edge digital platforms, we handle over 1.2 billion transactions annually, offering unparalleled volume, depth, and complexity of data. You'll have the exciting opportunity to tap into this vast data set, leveraging advanced technology and analytics to build scalable and high-performance products that deliver an amazing shopping experience to millions of people across the UK. In an inclusive and agile environment, you'll have the freedom to foster curiosity, experiment, and tackle real-world challenges, helping us unlock the true value of our data and drive impactful analysis that supports our strategic goals. Join us and be part of a team that values ownership, continuous improvement, and a human touch in everything we do.
What you'll do
As an Associate Analyst within our multi-channel, multi-brand business, you will play a vital role in unlocking the value of our extensive data assets and delivering analytical insights that directly support our strategic objectives. Working within a high-calibre team, you will focus primarily on providing analytical value for our retail divisions, gaining a deep understanding of our operations across brands such as Sainsbury's, Argos, Tu, and Habitat. Your role will involve developing and maintaining relationships with stakeholders, championing a collaborative approach to requirements gathering, and delivering compelling analysis that guides strategic decision-making. With a keen eye for detail and a passion for data storytelling, you will translate complex concepts into digestible narratives that inspire action. Your inquisitive mindset and problem-solving abilities, combined with your proficiency in tools such as SQL, Python, and/or R, will enable you to derive actionable insights and drive meaningful business change. Overall, you will contribute to our inclusive, fast-paced environment by continuously seeking opportunities for improvement, actively participating in the wider analytics community, and being proactive in your career development and progression.
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 Customer Analytics team. Working across Sainsbury’s, Argos, Habitat and Tu, our remit is to help the business to better understand our customers, liaising closely across Marketing, Commercial and Strategy teams amongst others. We are passionate about leveraging data and analytics in order to meet our customers’ needs.
Who you are
You are a highly skilled and inquisitive Analyst who is passionate about unlocking the power of data and insights. With a strong analytical foundation and a drive to understand the operations of our retail divisions, you have a proven track record in delivering actionable insights and driving business change through analytics. Your ability to think critically, solve problems logically, and communicate complex concepts with clarity enables you to build and tell compelling data stories that inspire action. With a collaborative approach, a curiosity for continuous improvement, and a proactive mindset for career development, you thrive in a fast-paced, high-quality environment where your contributions make a significant impact on the realisation of our company strategy.
As an Associate Analyst you will:
- Sit within the Customer Analytics team, liaising closely with members of the Marketing team.
- Apply your analytical knowledge to business problems recommending and implementing the analytical approach.
- 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 or R is helpful but not vital.
- A desire to deliver 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.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
“Stay connected! Follow us on LinkedIn for updates on career opportunities and more.”