Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Data Analyst focusing on advanced spatial analysis and client projects.
- Company: Geolytix is a leader in making complex data accessible for various industries globally.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of an innovative team that leverages spatial data to impact real-world decisions.
- Qualifications: A degree in data science or related field; experience with Python, SQL, and GIS preferred.
- Other info: Work from our Clerkenwell or Leeds office, with both full-time and part-time roles available.
The predicted salary is between 28800 - 48000 £ per year.
Join us as a Data Analyst focused on advanced spatial analysis in our modelling and analytical services team. Ideal for analysts passionate about data science.
At Geolytix, we seek new and innovative ways to make complex data accessible, insightful, and indispensable for our clients. We serve a diverse range of industries including retail, financial services, property, leisure, and food & beverage, both in the UK and internationally. Our expertise lies in network planning, site location analysis, estate rationalisation, and omni-channel strategy development. We are passionate about leveraging innovative spatial data and contributing to the open data community.
About the Role
We are seeking a highly motivated Data Analyst to join our dynamic team, with a focus on advanced spatial data analysis. This role is ideal for someone who has a few years of experience or has recently completed a relevant degree and is eager to apply their skills in a real-world setting.
Key Responsibilities
- Data Analysis: Support on client projects with data processing & research and location analysis.
- Demographic Reporting: Work with demographic datasets to create detailed reports and maps, utilizing advanced spatial analysis techniques.
- Programming: Utilise your Python skills to manipulate and analyse spatial datasets, including tasks such as data cleaning, transformation and visualisation.
- SQL Learning: Develop proficiency in SQL to support data extraction, manipulation and analysis.
- GIS Proficiency: Leverage Geographic Information Systems (GIS) to analyse spatial data and produce high-quality visual outputs.
About You
You have a passion for data science, a keen interest in spatial analysis and are eager to leverage your technical skills in a commercial environment. You enjoy working with complex datasets and have a strong attention to detail. You’re a team player but can work independently. You’re interested in engaging with the team and our customers. You enjoy the world of retail and are inquisitive about what drives people to shop where they do.
Qualifications
Educational Background: A degree or master’s degree in data science, Geography, Urban Studies or a related field. Or STEM based A Levels with hands-on experience of spatial data analysis.
Technical Skills
- Python: Experience in Python programming, particularly for spatial data manipulation (e.g. Pandas, Geopandas, Shapely).
- SQL: Willingness to learn and apply SQL for database management and data analysis.
- GIS: Hands-on experience with GIS software (e.g. QGIS, ArcGIS) and spatial data analysis.
Experience
- Practical experience in working with large datasets, including cleaning, processing and analysis.
- Familiarity with demographic datasets and experience in analysing and reporting on demographic data.
- Familiarity with statistical analysis and forecasting methods.
- Strong communication skills, with the ability to articulate complex analysis in a clear and actionable manner.
- A proactive learner who is eager to develop new skills and stay updated with the latest industry trends.
Location and Other Details
Our offices are located in Clerkenwell, London and Leeds. The role can be based in either location. We offer a competitive salary and flexible working options, including both full-time and part-time positions.
How to Apply
If you’re excited about the opportunity to work at the cutting edge of spatial analytics and are looking for your next challenge, please send your CV and a cover letter to [email]. Please add Ref:DA0125 to your application. We look forward to hearing from you! Please note that we do not accept applications from agencies.
Data Analyst, London employer: The Society for Location Analysis
Contact Detail:
The Society for Location Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, London
✨Tip Number 1
Familiarise yourself with the latest trends in spatial analysis and data science. Follow industry leaders on social media, read relevant blogs, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data analytics and GIS community. Attend meetups, webinars, or conferences related to spatial data analysis. Building connections can lead to valuable insights and potential referrals for job opportunities at Geolytix.
✨Tip Number 3
Practice your Python and SQL skills by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your technical abilities but also provide you with concrete examples to discuss during interviews.
✨Tip Number 4
Prepare to articulate your understanding of demographic datasets and their implications in real-world scenarios. Think about how you can apply your analytical skills to solve problems in industries like retail or property, as this will resonate well with the hiring team at Geolytix.
We think you need these skills to ace Data Analyst, London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analyst position. Familiarise yourself with spatial analysis, Python programming, and GIS software as these are key components of the role.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in Python, SQL, and GIS, as well as any practical experience with large datasets and demographic reporting.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and spatial analysis. Mention specific projects or experiences that demonstrate your skills and how they relate to the role at Geolytix. Don't forget to include the reference code DA0125.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at The Society for Location Analysis
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and GIS software. Bring examples of projects where you've used these skills, especially in spatial data analysis, to demonstrate your capabilities.
✨Understand the Company’s Focus
Research Geolytix and their work in advanced spatial analysis. Familiarise yourself with their industries and services, so you can speak knowledgeably about how your skills align with their needs.
✨Prepare for Practical Questions
Expect questions that assess your problem-solving abilities with real-world data scenarios. Practice explaining your thought process when analysing datasets or creating reports, as this will showcase your analytical skills.
✨Demonstrate Your Passion for Data Science
Share your enthusiasm for data science and spatial analysis during the interview. Discuss any personal projects or ongoing learning that reflects your commitment to staying updated with industry trends.
