The order in which job vacancies are displayed is determined by a composite score based on the following factors:
Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.
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.
You will encompass Location and Range, analytics, focusing on our geospatial data exploration and tooling capabilities. 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.
Key responsibilities
*
You're comfortable working both independently and collaboratively as part of a team.
*
Excited by taking on responsibility and looking to lead 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 Math, Physics, Geography, Data Science, Psychology.
*
An interest in GIS (Geographic Information Science) principles.
*
Stakeholder management experience - you will present complex results to less technical audiences.
*
Comfortable using programming languages including SQL, Python, and R.
*
Ability to balance multiple projects.
It would be great if you also have
*
Experience using GIS software, especially ESRI and Alteryx.
*
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.
Rewards designed for you
*
Pension membership
*
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 Exclusions may apply; eligible roles only. Please note that any salary estimates provided on third-party sites are not endorsed by Boots Ireland and may not be accurate.
A bit about us
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, so we're committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.
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. 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, which may include a vetting check.