Geospatial Data Analyst
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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., 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.
Benefits & conditions
- Pension membership
- Partial paid maternity leave
- Discretionary annual bonus
- Generous employee discounts
- Flexible benefits scheme
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