Role Overview
We are continuing to grow the geospatial data capability to improve geospatial services for property valuers and support wider business transformation. The Geospatial Data Analyst will play a key role in the analysis, updating and refinement of geospatial data, with responsibility for ensuring its accuracy and quality. This will include activities such as correcting errors, adding new data and sharing knowledge with others.
We are seeking an individual with experience of geospatial data and a strong attention to detail, to ensure data is of a high quality and accuracy. The role requires the ability to work at pace and organise workloads to meet expected timelines. The successful candidate will be a clear and confident communicator, able to engage with a range of teams and effectively transfer knowledge to others.
Key responsibilities
* Work with geospatial data throughout the full data lifecycle, including sourcing, licensing and publishing data.
* Create, prepare and process data, including the development of automated workflows and bespoke visualisations.
* Undertake data analysis with a focus on geospatial data.
* Contribute to the metadata and technical documentation of data, processes and workflows.
* Apply data standards and carry out quality assurance checks on geospatial products, including completeness and topological integrity.
* Liaise with internal and external stakeholders to understand their geospatial requirements and support knowledge transfer.
* Experience undertaking analysis using programming languages such as Python or R.
* Experience of transforming data, including integrating different data types (for example, spatial and non-spatial data) from a range of data sources, using automated workflows and processes.
* Experience of working with Geographic Information System (GIS) software (for example, ArcGIS or QGIS).
* Strong analytical and problem‑solving skills, with a high level of attention to detail.
* Experience of defining and carrying out quality assurance activities (for example, verification, validation and analytical review) and implementing analytical and data standards.
* Strong verbal and written communication skills.
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