• Act as a primary technical expert for complex spatial analysis tasks, including data modelling, spatial analysis, and the creation of detailed visualisations to inform decision making. 
• Identify shortcomings and data quality problems within internal and external datasets.
• Serve as the technical team lead for data product development and project delivery.
• Enhance and enrich client data with verified and validated location intelligence and insights. 
• Development of intelligent AI algorithms to identify gaps in higher volumes of wider varieties of existing and third-party datasets. 

Technology & Tools Implementation:

• Drive the adoption of best-in-class geospatial tools and technologies.
• Evaluate, implement, and maintain GIS software and related tools in accordance with company needs and budget.
• Perform regular technology, data and data quality reviews to drive cost optimisation.
• Provided technical recommendations and support documentation to aid in GIS process improvement.

Specialised Spatial Data Solutions:

• Create custom spatial data workflows, automation, and analytics tailored to business needs. This may involve advanced data processing, 3D modelling or spatial data visualisations.

Business Intelligence and AI Integration:

• Translate spatial data insights into actionable business intelligence by integrating geospatial data with internal analytics and reporting systems, such as business dashboards.

Business Intelligence and AI Integration:

• Translate spatial data insights into actionable business intelligence by integrating geospatial data with internal analytics and reporting systems, such as business dashboards.
• Assist with the modelling and development of AI-powered Descriptive Analytics Geospatial tools, Diagnostic Analytics Geospatial tools, Predictive Analytics Geospatial tools and
• Prescriptive Analytics Geospatial tools.

Data Management & Strategy:

• Ensure that all data aligns with organisational needs and adheres to quality standards.
• Research and evaluate additional datasets and insights to add to the company offering.
• Conduct trend analysis on market and competitor movements and strategies.

Cross-Departmental Collaboration:

• Work closely with internal teams, including Product Development, Operations, IT and Sales to integrate spatial data solutions that support broader business objectives.
• Serve as a secondary point of contact for all data-related queries. 

Client Engagement:

• Ensure high-quality results are delivered on time and within budget.
• Provide technical support to the Sales team and participate in client pre-sales engagements from time to time.

Minimum Requirements
Qualifications & Experience:

• Bachelor’s degree (Master’s preferred) in Geoinformatics, Geospatial Science, Computer Science, or a related field.
• 8+ years of experience in GIS, spatial data management, or a similar role
• Extensive experience with one or more GIS software tools (QGIS, MapInfo, ArcGIS) and spatial databases (PostGIS, SQL Server and Oracle).
• Deep knowledge of datasets, such as deeds and cadastre.
• Proficiency in SQL for spatial data processing and automation.
• Experience in machine learning and AI applications in geospatial analytics.
• Strong background in geospatial data analysis, visualisation, and predictive modelling.
• Geological classification map styling knowledge to ensure correct data visualisation.
• Extensive experience in the South African data environment that includes in-depth knowledge of local datasets.
• Experience in data cleaning, geocoding and data mining principles.
• Excellent communication skills, with the ability to present complex spatial data to non technical stakeholders.

Advantageous:

• Registration with the South African Geomatics Council (SAGC) as Professional GISc Practitioner.
• Proficiency in programming languages such as Python and/or R for spatial data processing and automation.
• Experience and understanding of Deeds data.
• Experience and understanding of CIPC data.
• Experience and understanding of OLAP.

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