At a Glance
- Tasks: Analyse geospatial data to create insights and tools that solve business challenges.
- Company: Join Boots, the UK's leading pharmacy-led health and beauty retailer.
- Benefits: Enjoy a competitive salary, generous discounts, and flexible benefits.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Degree in a quantitative field and skills in SQL, Python, and GIS.
- Other info: Inclusive workplace with opportunities for career growth and support.
The predicted salary is between 30000 - 40000 £ per year.
Geospatial Data Analyst
Contract: Permanent
Shift pattern: Full Time - 5 days in the office
Location: Nottingham - Support Office
What you will be doing:
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. 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.
You will encompass Location and Range analytics, focusing on our geospatial data exploration and tooling capabilities. 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.
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.
- Expertise in working with large structured and unstructured data sets, preferably in Databricks.
Benefits:
- 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.
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.
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.
Data Analyst SQL and Python in Nottingham employer: Boots UK Limited
Contact Detail:
Boots UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL and Python in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Brush up on your GIS knowledge and be ready to discuss how you've used data to solve real business problems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Boots.
We think you need these skills to ace Data Analyst SQL and Python in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any GIS software you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for geospatial data and how you can contribute to our team. Let us know why you're excited about this opportunity at Boots.
Showcase Relevant Experience: Whether it's academic projects or previous jobs, showcase your experience with data analysis and visualisation tools like Power BI. We love seeing real examples of how you've delivered results!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Boots UK Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to geospatial data. If you've worked with GIS software like ESRI or Alteryx, be prepared to share specific examples.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical thinking by discussing how you've tackled complex problems using data. Think of a few scenarios where your insights led to tangible results, and be ready to explain your thought process clearly.
✨Familiarise Yourself with the Company
Do some homework on Boots and their approach to health and beauty retail. Understanding their mission and values will help you align your answers with what they’re looking for. Plus, it shows genuine interest in the role!
✨Prepare Questions to Ask
Interviews are a two-way street, so think of insightful questions to ask your interviewers. Inquire about the team dynamics, ongoing projects, or how they measure success in the role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.