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- Tasks: Dive into data to uncover insights and drive decisions for Boots' digital platforms.
- Company: Join Boots, a trusted leader in healthcare and retail with a vibrant culture.
- Benefits: Enjoy flexible benefits, employee discounts, and a supportive work environment.
- Why this job: Make a real impact on customer experiences in beauty, health, and wellness.
- Qualifications: Analytical skills and experience with digital datasets like Google Analytics.
- Other info: Be part of a diverse team with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Join Digital Analytics in Boots' Nottingham-based Digital team. We are 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.
- 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 and 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 data sources. Your work will report to the Digital Analytics Manager. You will help to create the most compelling omnichannel beauty, health, and wellness experience in the UK.
- Bridging 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, 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.
The Boots Group is a trusted leader in healthcare, pharmacy and retail, operating across 11 countries - including the UK, Ireland, Thailand and Mexico. The Boots Group brands - including Boots, Boots Opticians, No7 Beauty Company, Farmacias Benavides and Alliance Healthcare - are trusted and well recognised healthcare and beauty businesses, serving millions of customers and patients every day in communities around the world.
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.
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.
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. Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.
We hope to hear from you soon. Be brilliant with Boots.
Data Analyst - Digital in London employer: BOOTS
Contact Detail:
BOOTS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Digital in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Boots or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You want to translate your data experience into compelling narratives that show how you've driven results. Remember, it's all about making your insights relatable!
✨Tip Number 3
Show off your analytical skills with real examples. Be ready to discuss specific projects where you used Google Analytics or other tools to uncover insights. This will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Boots.
We think you need these skills to ace Data Analyst - Digital in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with digital analytics, Google Analytics, and any relevant projects that showcase your skills in understanding customer behaviour and commercial performance.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Use specific examples of how you've applied advanced analytics techniques to solve problems or drive decisions in previous roles. This will help us see your potential impact at Boots.
Keep It Clear and Concise: When writing your application, aim for clarity. Avoid jargon where possible and make sure your insights are easy to understand. Remember, we want to see how you can translate complex data into compelling narratives for non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all applicants efficiently. Plus, it’s super easy to do!
How to prepare for a job interview at BOOTS
✨Know Your Data Tools
Make sure you're well-versed in the tools mentioned in the job description, especially Google Analytics. Familiarise yourself with how to extract insights from data and be ready to discuss specific examples of how you've used these tools in past roles.
✨Translate Data into Stories
Practice explaining complex data findings in simple terms. Think about how you can turn numbers into narratives that non-technical stakeholders can understand. This will show your ability to bridge the gap between data and decision-making.
✨Showcase Your Analytical Skills
Prepare to discuss advanced analytical techniques you've applied in previous roles. Be ready to share specific instances where your analysis led to actionable insights or improved business outcomes, particularly in customer acquisition or retention.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Discuss how you've partnered with different departments to drive data-driven decisions and improve processes. This will demonstrate your ability to work effectively within a team environment.
