Company Overview
Our client is delivering one of the UK's most significant infrastructure and transportation programmes, shaping the future of rail travel through innovative digital engineering and data-driven decision making. As part of a high-performing Digital Engineering team, you will play a key role in ensuring the quality, governance and effective use of geospatial information across a complex, multi-billion-pound programme. The organisation promotes collaboration, innovation and continuous improvement while investing in cutting-edge technologies and data management practices.
Job Responsibilities
As a GIS Data Analyst, you will support the management, governance and quality assurance of geospatial data within a large-scale Common Data Environment (CDE). Key responsibilities include:
Manage GIS data exchanges from internal teams and external suppliers, ensuring data quality and compliance with established standards.
Analyse and investigate data quality issues, identify root causes, and provide recommendations for improvement.
Support the governance and maintenance of GIS data within the organisation's Digital Engineering framework.
Develop, deliver and support training programmes related to GIS standards, tools and processes.
Create and maintain GIS data workflows, automations and transformation processes to improve efficiency and data interoperability.
Work closely with engineering, project delivery and supplier teams to ensure accurate and timely geospatial data delivery.
Contribute to the development of data standards, specifications and continuous improvement initiatives across the Digital Engineering function.
Support data integration, visualisation and reporting activities to enable informed business decisions.
Experience Required
We are looking for an experienced GIS professional with strong technical expertise and a passion for data quality and digital transformation.
Essential Skills & Experience
Strong experience with ESRI ArcGIS Enterprise, ArcGIS Online/Portal and GIS data management tools.
Experience working with Safe FME and data transformation workflows.
Knowledge of GIS automation, scripting and data pipeline development.
Proven experience in data quality assurance, validation and governan...
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