Hybrid Spatial Insight Analyst – 18 months FTC

at Landye Bennett Blumstein LLP

• Job title: Spatial Insight Analyst – 18 months FTC
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: £42,771 - £46,968 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Colindale, United Kingdom

About the role

• Join Barnet Council as a Spatial Insight Analyst to work with geospatial data for improved decision-making. In this hybrid role, you'll analyze complex datasets for community insights.

Responsibilities

• Conduct detailed spatial analysis to support evidence-based decision making across the council.
• Create high-quality maps, spatial dashboards, and visualisations that explain trends, risks and opportunities.
• Maintain and contribute to the development of the council’s spatial data repository, ensuring data quality and adherence to standards.
• Support the management, maintenance and improvement of the LLPG, ensuring compliance with local and national requirements.
• Develop spatial reporting products and tools that help services understand their data and improve outcomes for residents.
• Help design and maintain spatial data flows, contributing to the development of a spatial data management strategy.
• Use SQL, Python, R or relevant GIS software to clean, transform and analyse geospatial datasets.
• Provide advice and guidance to colleagues on spatial data use, map design and best-practice visualisation.
• Support training for new GIS and LLPG users as part of strengthening geospatial literacy across the organisation.
• Work with ICT and other partners to troubleshoot and improve spatial systems and processes.
• Uphold best practice in data protection, information governance and confidentiality.

Requirements

• Experience using GIS tools, such as QGIS, to analyse, visualise and manage spatial data.
• A strong understanding of geospatial concepts, data standards and dataset management, ideally including LLPG or other local government gazetteer processes.
• Good technical skills in tools such as SQL, Power BI, R or Python for data manipulation and spatial/statistical analysis.
• The ability to communicate complex spatial analysis clearly to nonspecialist audiences.
• A collaborative style and confidence working with colleagues across different services to understand their needs.
• A strong eye for detail and a commitment to data quality, information governance and good documentation.

Benefits

• 31 days annual leave, plus public and bank holidays
• Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents
• Work-life balance options may include hybrid working, flexitime, job share, home working, part-time
• A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more
• Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership
• Excellent training and development opportunities
• Employee well-being training programs including confidential employee assistance