Senior Analyst – Customer Analytics

Overview Home. There’s no place like it. And there’s no feeling like helping people create the joy of feeling truly at home. At Dunelm, that’s what we do. We’re the UK's number one choice for homewares because we make home life lovelier for our customers. And the caring and supportive culture we've created makes this a place you'll feel right at home too. We are the UK’s Number One homewares retailer offering over 80,000 products building a consumer-focused total retail business that delights customers through our multichannel operation. We are ambitious in our plans to drive further expansion of the business to more customers, shopping more frequently, with more choice, enhanced digital and physical services, and new capabilities to innovate and operate at pace in a fast-changing landscape. In developing the business for the long-term benefit of our customers, we are investing in our supply chain, stores and technology to improve the customer proposition as we move forward. Are you looking to play a role in the Data & Insight transformation journey of a successful and fast-growing omnichannel retailer? It’s an exciting time at Dunelm, the UK’s biggest homewares brand, as we look to strengthen our talented Analytics and Data Science team in order to achieve our mission to put data and insight at the heart of decision making across the business. This role will drive business decision making through understanding the customer behaviours across website and stores, both at Dunelm and among the wider market. You’ll generate insights and recommendations to drive business strategy and decisions, ensuring we’re putting the customer at the heart of everything we do. What you'll be doing: Managing your own analytical projects and working with stakeholders across the business to help them make better, more customer-led, decisions. Using a range of large datasets and a variety of analytical techniques to pull out actionable insights. Taking the business beyond understanding what has happened, instead driving what they need to do next. Packaging up your insights into easy-to-understand, compelling, data-led stories. Helping the business understand not only how customers are engaging with Dunelm, but also what is happening in the wider marketplace. Driving a framework and tracking metrics to understand customer behaviour and put a customer lens on business performance. Providing insight into drivers of change, and recommendations for improvement. Building the customer segmentations needed to improve our understanding of our customers. Alongside working on analytics projects as requested by the business, making your own suggestions for work we should proactively be doing in order to enhance our customer understanding. Working with others within the Insight & Analytics teams to ensure that the customer is at the heart of all our work. Working closely with the Research team to integrate data driven insight and customer research, driving a more holistic view of customer behaviours. Supporting the democratisation of customer data and insight, including creation of a monthly pack to share key customer insights with the executive team. Working with the Data Product and Engineering teams to define data products needed by your team to enable insight, as well as the data needed from external providers to give a more holistic view of customer behaviours. As a key member of the Analytics team you will be playing an important role in contributing towards the culture, as well as being an advocate for data, insight and the voice of the customer throughout the business. Supporting with the development of the wider Insight & Analytics team, in particular the graduates and apprentices. What we'll look for in you: An ability to take requests from stakeholders and convert them into analytical questions which lead to actionable insights. Experience of using a variety of analytical techniques to pull out what the data is telling us. An innate curiosity. Wanting to understand customer behaviours and why they are occurring – having a desire to really understand the “why”. Strong commercial instinct and business acumen; able to make tangible recommendations (preferably in a retail environment). Collaborative, with excellent communication skills and an ability to tell stories through data. You are adaptable and proactive, and thrive on working in a fast-paced environment. Experienced in exploring large datasets, with proficiency in SQL. Knowledge of Python, R or another major analytical language is a plus.

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