1 to 2 of 2 Spatial Data Management Jobs in the UK excluding London

professional with over 12 years of extensive experience across various sectors, including engineering, oil & gas, geotechnical engineering, transport, and water. Proven expertise in GIS, spatial data management, surveying, and 3D laser scanning. Proficient in leveraging the ArcGIS platform, spatial data processing, project/contract management, process automation, GIS analysis, data visualization, and database administration. • Proven experience of 10 years managing complex technical projects in a fast-paced environment. • Strong understanding of software development lifecycle (SDLC) methodologies, including Agile, Scrum, and Waterfall. • Excellent leadership and interpersonal skills, with the ability to effectively collaborate with … multiple tasks simultaneously. • Demonstrated ability to think strategically, anticipate challenges, and develop effective solutions. • Strong analytical and problem-solving skills, with a focus on data-driven decisionmaking. • Excellent verbal and written communication skills, including the ability to present complex technical information in a clear and concise manner. • Proficiency in more »

IT and GIS Data Transformation Analyst Temporary 2 Year Post. SALARY: PS1 (SCP 29-31) (£37,336 £39,186) LOCATION: - 1 of the following locations; Conwy Traffic Management Centre, Bangor, Llandrindod Wells, Halkyn, Newtown, Aberaeron, Dolgellau As an IT and GIS Data Transformation Analyst, you will be … responsible for designing, developing, testing, and implementing spatial data management systems to support Agency operations. You'll collaborate with cross-functional teams to integrate GIS data into financial and operational IT systems and analyse geo-referenced datasets to produce insightful reports for senior management, facilitating … strategic decision-making. In addition, you'll conduct data cleansing, maintenance, and analysis of asset inventory datasets related to our strategic road network. You'll implement solutions using industry best practices, ensuring the future-proof development of spatial IT systems and the security and confidentiality of sensitive data. more »