At a Glance
- Tasks: Drive analytics projects and extract actionable insights to shape business strategy.
- Company: Join Boots Online Doctor's dynamic analytics team in a supportive environment.
- Benefits: Enjoy competitive pay, generous discounts, and continuous learning opportunities.
- Other info: Hybrid role in vibrant Islington with excellent career growth potential.
- Why this job: Make a real impact in the fast-growing digital healthcare industry.
- Qualifications: Bachelor’s degree in a quantitative field and 3+ years of data analytics experience.
The predicted salary is between 40000 - 50000 £ per year.
Are you ready to make a difference? Join our dynamic analytics team at Boots Online Doctor as our Data Analyst! Here, you’ll have the opportunity to shape our business strategy and performance in a fast‑growing industry, all while working in a supportive and inclusive environment. This is a full‑time hybrid vacancy within our London office based in vibrant Angel, Islington.
What You’ll Be Doing
- As a Data Analyst, you will play a pivotal role in driving the analytics function, reporting directly to the Head of Analytics.
- You will take ownership of key analytical projects, act as a strategic partner to stakeholders, and help shape business strategy through advanced data insights.
Key Responsibilities
- Lead complex data analysis and modelling projects using healthcare datasets to extract actionable insights and partner with teams to translate business problems into data solutions.
- Design, build and maintain automated dashboards using modern BI tools, ensuring data accessibility for senior stakeholders and establishing best practices for reporting and visualisation.
- Champion process improvements and introduce automation to enhance team efficiency and scalable methodologies.
- Leading initiatives to improve self‑service analytics and architecting solutions to empower teams to access their own insights confidently.
- Manage high‑impact ad hoc analysis and provide strategic recommendations for complex and ambiguous business challenges.
- Identify commercial opportunities, emerging trends and potential risks through data exploration.
What You’ll Need To Have (our Must-haves)
- Bachelor’s degree in a quantitative field (e.g., Physics, Statistics, Mathematics, Computer Science).
- 3+ years of proven experience in a data analytics role.
- Advanced SQL proficiency for complex data manipulation and querying.
- Hands‑on experience with data analysis programming languages (Python or R).
- Proven experience building interactive dashboards and reports using enterprise visualisation tools.
- Strong stakeholder management and communication skills.
- Proactive mindset with the ability to manage multiple projects.
- Interest in the digital healthcare industry.
It Would Be Great If You Also Have
- Proficiency with Google Analytics 4 (GA4).
- Experience in funnel analysis, cohort analysis, and A/B testing.
- Background in healthcare or regulated industries (Medtech, fintech).
- Familiarity with AWS (e.g., Redshift, Glue, SageMaker).
Where Your Brilliance Can Take You
At Boots Online Doctor, we believe in your potential. You’ll have access to continuous learning opportunities and the chance to shape your career path within our organisation.
Rewards Designed For You
- Boots Retirement Savings Plan (up to 6% company contribution)
- Generous employee discounts for you and a family member
- Enhanced maternity/paternity/adoption leave pay
- 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.
What’s next? If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you be at your best. We hope to hear from you soon. Be brilliant with Boots.
Data Analyst employer: Boots UK
At Boots Online Doctor, we pride ourselves on being an excellent employer, offering a vibrant work culture in the heart of Islington. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages innovation and collaboration. With competitive benefits such as a generous retirement savings plan and enhanced family leave, we ensure our team feels valued and empowered to make a meaningful impact in the digital healthcare industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Boots UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Boots UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Boots UK.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Boots UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Boots UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Boots UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Boots UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Boots UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
