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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.
Job Responsibility:
Explain digital performance, providing clear insights on its drivers and recommending relevant next steps to Ecommerce and commercial decision-makers
Translate complex data into clear narratives for non-technical partners
Promote data literacy and a self-service analytics culture across the organisation
Apply advanced analytical techniques to understand our performance and customer behaviour from a variety of different data sources
Help to create the most compelling omnichannel beauty, health, and wellness experience in the UK
Enable data-driven decisions by providing a deep understanding of our commercial performance and customer behaviour
Be an expert on our digital datasets, including Google Analytics, and apply advanced analytics to uncover key insights
Focus analysis on critical business themes like customer acquisition, retention, and conversion with a lens on products and services
Identify patterns, causal factors, and predict future performance
Mature the business's data understanding by developing analysis, and improving dashboards and other data products
Integrate and reconcile datasets with different definitions to provide a holistic view
Ensure data collection and analysis practices are compliant with relevant data protection regulations (e.g., GDPR/UK GDPR)
Guide communication between the Digital Trading team and the Digital Analytics function
Share insights, methodologies, and best practices to maximise the value of our digital data investments
Support the analytics team's data engineering efforts by identifying and generating new datasets for dashboards and other data-driven products
Identify opportunities where digital analytics can be used with other datasets to solve customer pain points, improve user experience, and achieve growth
Enhance your data and analytics skills and stay up to date with the latest industry trends
Apply 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
Requirements:
Analytics skills to understand commercial performance and customer behaviour on digital platforms
Ability to apply advanced analytics on large datasets
Expertise in digital datasets, including Google Analytics
Ability to translate complex data into clear narratives for non-technical partners
Ability to promote data literacy and a self-service analytics culture
Ability to integrate and reconcile disparate datasets
Understanding of data protection regulations (e.g., GDPR/UK GDPR)
Ability to guide communication between trading and analytics teams
Ability to support data engineering efforts by identifying and generating new datasets
Ability to identify opportunities where digital analytics can solve customer pain points
Ability to apply AI and machine learning tools to build predictive models and forecast outcomes
What we offer:
Boots Retirement Savings Plan
Discretionary annual bonus
Generous employee discounts
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