Geospatial Analyst (IC)

Job Title: Geospatial Analyst

ROLE OVERVIEW

In this role you will deliver actionable insights through spatial data analysis, GIS technologies, and advanced data visualisation. The role combines geospatial intelligence, analytics, and business insight to support data-driven decision-making across operational and strategic domains.

Key Responsibilities

Geospatial Analysis & Insights

• Analyse geospatial datasets to identify patterns, trends, and optimisation opportunities
• Perform spatial analysis including:
• Mapping and visualisation
• Route optimisation
• Movement and behavioral tracking
• Translate spatial data into meaningful business insights

Data Management & Integration

• Collect, cleanse, and integrate geospatial and related datasets from multiple sources (e.g., APIs, IoT/telematics systems)
• Maintain data quality, consistency, and governance standards
• Work with structured and unstructured data across platforms

GIS & Tooling

• Develop and maintain geospatial models and datasets using:
• ArcGIS / QGIS
• Produce high-quality maps, layers, and spatial outputs
• Leverage GIS capabilities for operational and strategic use cases

Reporting & Visualisation

• Build interactive dashboards and reports (e.g., Qlik, Power BI)
• Present insights through compelling visual storytelling
• Support stakeholders with real-time and historical analytics

Stakeholder Engagement

• Collaborate with business, operations, and technical teams
• Translate requirements into analytical solutions
• Present findings to both technical and non-technical audiences

Core Skills & Experience

Technical Skills

• Strong experience in Geospatial Analysis / GIS
• ArcGIS, QGIS or similar tools
• Proficiency in data analysis and manipulation
• SQL, Python (preferred)
• Experience with data visualisation tools
• Qlik (advantageous), Power BI, Tableau
• Understanding of data integration and APIs

Domain Experience (Advantageous)

• Telematics / fleet / logistics / tracking data [1]
• Smart cities, utilities, or location intelligence platforms
• Operational analytics environments

Qualifications

• Bachelor’s degree in:
• Geospatial Science, Geography, GIS, Data Science, or related field
• Relevant certifications in GIS or analytics tools (advantageous)

Key Competencies

• Strong analytical and problem-solving ability
• Attention to detail and data accuracy
• Ability to translate complex spatial data into business insights
• Effective communication and stakeholder engagement
• Curiosity-driven and innovation-focused mindset