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For Companies At a Glance
- Tasks: Analyse geospatial data to create insights and tools that solve business problems.
- Company: Join Boots, the UK's leading pharmacy-led health and beauty retailer.
- Benefits: Enjoy competitive salary, generous discounts, flexible benefits, and a supportive work environment.
- Why this job: Make a real impact by leading data-driven decisions in a dynamic team.
- Qualifications: Degree in a quantitative field and experience with SQL, Python, and GIS principles.
- Other info: Flexible working options available; we value diversity and inclusion.
The predicted salary is between 30000 - 40000 £ per year.
Geospatial Data Analyst
Contract: Permanent
Shift pattern: Full Time - 5 days in the office
Nottingham - Support Office
What you'll 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 include:
- 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.
Reporting Data Analyst with SQL and Python in Derby employer: Boots UK Limited
Contact Detail:
Boots UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reporting Data Analyst with SQL and Python in Derby
✨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
Prepare for interviews by practising common questions related to SQL, Python, and data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work, especially if you've tackled geospatial data or used GIS software. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Boots.
We think you need these skills to ace Reporting Data Analyst with SQL and Python in Derby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Reporting Data Analyst role. Highlight your experience with SQL, Python, and any relevant projects that showcase your skills in geospatial data analysis. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background fits with our mission at Boots. Don’t forget to mention your interest in GIS principles and any experience with data visualisation tools.
Showcase Your Projects: If you've worked on any relevant projects, whether academic or professional, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve large datasets or GIS software like ESRI.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role and our fantastic benefits!
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 tools in past projects, especially in relation to geospatial data. It’s a great way to show your technical prowess!
✨Showcase Your Analytical Mindset
Prepare examples of how you've tackled complex data problems in previous roles or studies. Highlight your experience with GIS principles and any relevant software like ESRI or Alteryx. This will demonstrate your ability to lead value from data.
✨Balance is Key
Since the role involves juggling multiple projects, think of instances where you've successfully managed competing priorities. Share how you organised your workload and met deadlines, as this will show your potential employer that you can handle the demands of the job.
✨Visualise Your Success
Familiarise yourself with data visualisation tools like Power BI. Be prepared to discuss how you've used these tools to present insights effectively. A strong visual presentation can make your findings more impactful, so don’t shy away from showcasing this skill!