At a Glance
- Tasks: Analyse digital data to drive insights and improve customer experiences.
- Company: Join Boots' innovative Digital Analytics team in Nottingham.
- Benefits: Flexible benefits, competitive salary, and access to 24/7 support.
- Other info: Be part of a diverse team with excellent career development opportunities.
- Why this job: Make a real impact on customer behaviour and business growth.
- Qualifications: Experience in data analysis and strong communication skills.
The predicted salary is between 35000 - 45000 € per year.
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.
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.
Data Analyst in Nottingham employer: Women in Data®
Boots is an exceptional employer, offering a vibrant work culture in Nottingham that fosters collaboration and innovation within the Digital Analytics team. Employees benefit from a comprehensive rewards package, including flexible benefits, enhanced parental leave, and access to 24/7 counselling support, all while contributing to meaningful projects that enhance customer experiences in beauty, health, and wellness. With a strong commitment to diversity and employee growth, Boots provides ample opportunities for professional development and encourages a data-driven mindset across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Boots or in the digital analytics field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past analytics projects. Whether it's dashboards you've built or insights you've uncovered, having tangible examples will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. Think about how you'd explain complex data concepts in simple terms, just like you would to non-technical partners at Boots.
✨Tip Number 4
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 Boots team and ready to dive into the world of digital analytics.
We think you need these skills to ace Data Analyst in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with digital analytics, Google Analytics, and any relevant datasets. We want to see how your skills align with our mission to drive data-driven decisions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about digital analytics and how you can contribute to our team. Be sure to mention specific examples of how you've used analytics to influence business decisions.
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've applied them! Share examples of projects where you've used advanced analytics techniques to uncover insights or solve problems. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do—just a few clicks and you’re on your way!
How to prepare for a job interview at Women in Data®
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of digital analytics, especially Google Analytics. Be prepared to discuss how you've used data to drive decisions in past roles, and think of specific examples that showcase your ability to analyse customer behaviour and commercial performance.
✨Translate Data into Stories
Practice explaining complex data insights in simple terms. The interviewer will want to see how you can communicate findings to non-technical stakeholders. Use real-life scenarios where you've successfully translated data into actionable recommendations for decision-makers.
✨Showcase Your Problem-Solving Skills
Think about instances where you've identified opportunities through analytics that led to improved user experiences or business growth. Be ready to discuss your approach to problem-solving and how you’ve integrated different datasets to provide a holistic view of performance.
✨Stay Current with Trends
Familiarise yourself with the latest trends in predictive analytics and AI. Be prepared to discuss how you would apply these tools in the role to enhance data-driven decision-making. Showing that you're proactive about learning will impress the interviewers.
