Join Digital Analytics in Boots' Nottingham-based Digital team. We're seeking a Digital Analyst who can apply analytics skills to deeply understand commercial performance and customer behaviour on our digital platforms. This role will partner with cross‑functional teams to apply advanced analytics on large datasets, driving better decisions and data‑driven products.
Reporting to the Digital Analytics Manager, you will help to create the most compelling omnichannel beauty, health, and wellness experience in the UK. Your core mission is to enable data‑driven decisions by providing a deep understanding of our commercial performance and customer behaviour.
You will be an expert on our digital datasets, including Google Analytics, and will apply advanced analytics to uncover key insights. Your analysis will focus on critical business themes like customer acquisition, retention, and conversion with a lens on products and services, allowing you to identify patterns, causal factors, and predict future performance.
This is a hands‑on role where you will be an active partner to stakeholders. You will mature the business's data understanding by developing analysis, and improving dashboards and other data products. Your insights will directly influence daily tactical decisions and long‑term strategic planning, driving tangible growth opportunities.
Key responsibilities
Analytics Partner
Explain digital performance, providing clear insights on its drivers and recommending relevant next steps to Ecommerce and commercial decision‑makers. You will translate complex data into clear narratives for non‑technical partners. You will promote data literacy and a self‑service analytics culture across the organisation.
Strategic Insight
Apply advanced analytical techniques to understand our performance and customer behaviour from a variety of different data sources. Your work will involve integrating and reconciling datasets with different definitions to provide a holistic view that enhances our ability to direct business strategy and justify investment. This also includes ensuring data collection and analysis practices are compliant with relevant data protection regulations (e.g., GDPR/UK GDPR). Bridge the gap: guide communication between the Digital Trading team and the Digital Analytics function. You will share insights, methodologies, and best practices to maximise the value of our digital data investments across the business.
Data Product Development
Support the analytics team's data engineering efforts by identifying and generating new datasets for dashboards and other data‑driven products.
Innovation & Problem‑Solving
Identify opportunities where digital analytics can be used with other datasets to solve customer pain points, improve user experience, and achieve growth.
Predictive Analytics & AI
Enhance your data and analytics skills and stay up‑to‑date with the latest industry trends. This includes applying AI and machine learning tools to reduce the barrier to entry, improve efficiency, build predictive models, forecast outcomes, and uncover deeper insights to improve business growth.
Rewards designed for you
* Boots Retirement Savings Plan
* Discretionary annual bonus
* Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
* Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
* Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
* There's lots more in our benefits and discounts, MyBoosts – there to give you that little lift in your everyday. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only. Please note that any salary estimates provided on third‑party sites are not endorsed by Boots and may not be accurate.
We are proud to be an equal‑opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all.
Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case‑by‑case basis.
This role requires the successful candidate to complete a Pre‑employment check after receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable Groups) or an Access NI Check.
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