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: 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 - 43200 £ per year.
We are hiring 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. Please add Ref:DA0125 to your application. We look forward to hearing from you!
Please note that we do not accept applications from agencies.
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 data analysis. Follow industry leaders on social media and engage with relevant online communities to stay updated. This will not only enhance your knowledge but also show your passion for the field during interviews.
✨Tip Number 2
Network with professionals in the data science and spatial analysis sectors. Attend meetups, webinars, or conferences where you can connect with potential colleagues or mentors. Building these relationships can lead to valuable insights and even job referrals.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied Python and GIS skills. Be ready to explain your thought process and the impact of your work. This practical demonstration of your abilities can set you apart from other candidates.
✨Tip Number 4
Research Geolytix and their recent projects or case studies. Understanding their approach to spatial analysis and the industries they serve will help you tailor your conversations and show genuine interest in their work during the interview process.
We think you need these skills to ace Data Analyst, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills related to data analysis, spatial data manipulation, and programming in Python. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and spatial analysis. Mention specific projects or experiences that showcase your skills and how they align with Geolytix's mission to make complex data accessible.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and GIS software in both your CV and cover letter. Provide examples of how you've used these skills in past projects or coursework to solve real-world problems.
Follow Application Instructions: Ensure you include the reference number Ref:DA0125 in your application as specified. Double-check that all required documents are attached before submitting your application through our website.
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 technical proficiency.
✨Understand the Company’s Focus
Research Geolytix and their work in advanced spatial analysis. Familiarise yourself with their key industries and services, as this will help you tailor your responses and show genuine interest in their mission.
✨Prepare for Practical Questions
Expect questions that assess your problem-solving abilities and analytical thinking. Be ready to walk through your thought process on how you would approach a data analysis project or solve a specific problem using spatial data.
✨Demonstrate Your Passion for Data Science
Share your enthusiasm for data science and spatial analysis during the interview. Discuss any personal projects, relevant coursework, or industry trends that excite you, as this will highlight your commitment to the field.