At Geolytix, we seek new and innovative ways to making 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 and web-based data collection. This role is ideal for someone who has recently completed a relevant degree and is eager to apply their skills in a real-world setting.
Key Responsibilities
- GeoData Updates: Update and maintain our GeoData packs using a combination of automated scripts and manual processes.
- Web Scraping: Develop and implement web scraping tools to collect store
location data from various retailer websites. - Demographic Reporting: Work with demographic datasets to create detailed
reports and maps, utilizing advanced spatial analysis techniques. - Dataset Research: Research and test new datasets to identify opportunities for
building innovative data products that enhance our service offerings. - 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.
Qualifications
Educational Background: Recent completion of a degree or master’s degree in data science, Geography, Urban Studies, or a related field.
Technical Skills
- Python: Experience in Python programming, particularly for spatial data
manipulation (e.g. Pandas, Geopandas, Shapely). - Web Scraping: Proficiency in web scraping techniques using tools like
BeautifulSoup, Scrapy, or Selenium. - 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.
- Experience in researching and testing new datasets to build and enhance data
products. - 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. Preference is for the role to be based in Leeds, at least initially, but then either location.
We offer a competitive salary and flexible working options, including both full-time and part-time positions.
Employee benefits here.
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 careers@geolytix.com
We look forward to hearing from you!
Please note that we do not accept applications from agencies.
Photo by Ian Schneider on Unsplash
