At a Glance
- Tasks: Drive analytics projects, extract insights, and create automated dashboards.
- Company: Join Boots Online Doctor's dynamic analytics team in vibrant Islington.
- Benefits: Generous discounts, retirement savings plan, and 24/7 counselling support.
- Other info: Continuous learning opportunities and career growth within the organisation.
- Why this job: Shape business strategy in a 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 45000 - 55000 £ 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.
Data Analyst employer: Boots
At Boots Online Doctor, we pride ourselves on being an excellent employer by fostering a supportive and inclusive work culture that empowers our employees to thrive. As a Data Analyst in our vibrant Islington office, you'll enjoy hybrid working arrangements, continuous learning opportunities, and a comprehensive benefits package, including generous employee discounts and enhanced family leave. Join us to make a meaningful impact in the fast-growing digital healthcare industry while advancing your career in a dynamic analytics team.
