At a Glance
- Tasks: Lead geospatial insight projects and manage a small team.
- Company: Join a well-known UK brand making an impact in the industry.
- Benefits: Enjoy a competitive salary of £60,000-£70,000 plus bonuses.
- Other info: This role offers a hybrid working model for better work-life balance.
- Why this job: Be part of exciting projects that shape the future of geospatial analytics.
- Qualifications: Experience in GIS is essential; knowledge of SQL or Python is a plus.
The predicted salary is between 51600 - 61600 £ per year.
A household UK brand is seeking a Geospatial Analytics Manager to join their team!
As the Geospatial Analytics Manager, you will work on a host of geospatial insight & analytics projects, whilst leading a small team. You will have good GIS experience (ideally with Esri but this is not essential) and ideally have experience with SQL or Python.
YOUR SKILLS AND EXPERIENCE
- GIS experience – Esri preferred but not essential
THE BENEFITS
- £60,000-£70,000 (dependent on experience)
- Bonus
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
StudySmarter Expert Advice🤫
We think this is how you could land Geospatial Analytics Manager in Leeds
✨Tip Number 1
Network with professionals in the geospatial analytics field. Attend industry events or webinars to connect with others who work in GIS and analytics, as they may have insights or even job leads that could help you land this role.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in geospatial analytics. Being knowledgeable about tools like Esri, SQL, and Python will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 3
Prepare to discuss your previous projects and experiences in detail. Be ready to explain how you've used GIS tools and analytics to solve real-world problems, as this will demonstrate your practical skills and leadership potential.
✨Tip Number 4
Research the company thoroughly before your interview. Understand their products, services, and how they utilise geospatial analytics. This knowledge will help you tailor your responses and show your genuine interest in the role.
We think you need these skills to ace Geospatial Analytics Manager in Leeds
Some tips for your application 🫡
Understand the Role:Take time to thoroughly read the job description for the Geospatial Analytics Manager position. Understand the key responsibilities and required skills, especially focusing on GIS experience and familiarity with SQL or Python.
Tailor Your CV:Customise your CV to highlight relevant experience in geospatial analytics and any specific projects you've worked on. Emphasise your GIS skills, particularly if you have experience with Esri, and mention any programming skills in SQL or Python.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for geospatial analytics and how your background aligns with the company's needs. Mention specific achievements and how you can contribute to their team.
Follow Application Instructions:Make sure to send your application through the specified channel. In this case, use the 'Apply' link provided in the job listing to submit your CV to Adam Osborne at Harnham. Double-check that all documents are attached before hitting send.
How to prepare for a job interview at Harnham
✨Showcase Your GIS Knowledge
Make sure to highlight your experience with GIS, especially if you have worked with Esri. Be prepared to discuss specific projects where you've applied your geospatial skills and how they contributed to the overall success of the project.
✨Demonstrate Leadership Skills
As a Geospatial Analytics Manager, you'll be leading a team. Share examples of how you've successfully managed teams in the past, focusing on your leadership style and how you motivate and develop your team members.
✨Prepare for Technical Questions
Expect questions related to SQL and Python, even if they're not mandatory. Brush up on your technical skills and be ready to solve problems or discuss how you've used these tools in your previous roles.
✨Research the Company
Familiarise yourself with the company's brand and values. Understanding their mission will help you align your answers with what they are looking for, showing that you're genuinely interested in being part of their team.
