Trials Data Analyst

In the Space, Range and Location Analytics team within the UK's leading pharmacy-led health and beauty retailer, we are responsible for designing, developing and delivering data, models and insights. These allow us to give our customers what they want, where and when they want it.

Our award-winning team integrates across all parts of our business. If you are great at analytics and love retail and healthcare, you will have plenty of opportunities to make an impact. We have 1,900 stores and a significant online presence, and our purpose is to help our customers look and feel better than they ever thought possible.

We're looking for someone who has the gift of translating complex analytics into easily understandable insights and principles.

We're looking for someone who has the gift of translating complex analytics into easily understandable insights and principles.

You will encompass Range, Location and Operational insights, focusing on our Test and Learn capabilities for trials evaluation. This opportunity is for those of you interested in supporting Boots in implementing business solutions from your analytical thinking and capability.

You'll be supported in the role by a diverse team of experienced peers and leaders as you meet the evolving requirements of the retail and pharmacy analytics environment.

If you're a problem solver, comfortable working both independently and collaboratively as part of a team. Excited by taking on responsibility and looking to drive value from data, and creating the insights and tools to solve business problems.

• Relevant previous experience or a degree with quantitative elements (i.e. includes statistics modules), such as Maths, Physics, Geography, Data Science, Psychology.
• Logical thinking and problem solving skills.
• Stakeholder management experience and strong communication skills - you will be presenting complex results to less technical audiences.

• Comfortable using programming languages including SQL, Python, and R.

• Ability to organise and prioritise own workload, often balancing multiple projects simultaneously.
• Take a proactive approach towards your career development, always aiming for improvement and helping others to achieve their best.

It would be great if you also have

• Experience in evaluating trials through a robust methodology.
• Demonstrable record of delivering results in a commercial or academic environment.
• Experience using data visualisation tools such as Power BI.
• Ability to deal well with ambiguity.
• Expertise in working with large structured and unstructured data sets, preferably in Databricks.

• Pension membership (PRSA)
• Partial paid maternity leave
• Discretionary annual bonus
• Generous employee discounts
• Flexible benefits scheme

There's lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Find out more at boots.jobs

At Boots we're proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported and free to be themselves. We believe that when our people feel valued and included, they thrive. We're committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.