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Data Analyst

Geolytix

Data Analyst

Salary Not Specified

Geolytix, Leeds

  • Full time
  • Permanent
  • Onsite working

Posted 2 weeks ago, 31 Aug | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 031280b6853c4ab7a4a8d055c7a1172a

Full Job Description

  • 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.

    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., 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., 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., 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.

    We offer a competitive salary and flexible working options, including both full-time and part-time positions.