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 our competitor set. 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:
Use large datasets and a variety of analytical techniques to tell compelling stories with the data in an easy-to-understand manner.
Provide actionable insight into customer behaviour to teams across Dunelm in order to drive strategic and customer-led decisions.
Drive a framework and track metrics to understand customer behaviour and put a customer lens on business performance, providing insight into drivers of change, and recommendations for improvement.
Build the customer segmentations needed to improve our understanding of our customers.
Work with others in Analytics and business teams to implement and test projects to improve customer engagement and experience.
Work closely with the Research team to integrate data driven insight and customer research.
Support the democratisation of customer data and insight, including creation of a monthly pack to share key customer insights with the executive team.
Work with the Data Product and Engineering teams to define data products needed by your team to enable insight, as well as data needed from external providers to give a more holistic view of customer behaviours.
As a key member of the Analytics team you’ll play 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.
What we’ll look for in you:
Experience using your analytical skillset to tackle business problems, preferably in a retail environment.
Strong commercial instinct and business acumen; able to make tangible recommendations .
Creative and curious, with the ability to interrogate data in order to deeply understand drivers of behaviour.
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.