Senior Corporate GIS Analyst
This role is within the Corporate Centre GIS Team which is a small team of GIS analysts who form part of the wider Community and Geospatial Intelligence team. The team is responsible for the management of the corporate GIS infrastructure which is used by staff, partners and the public. The role will be supporting a range of workstreams across the authority, whether that be providing location based spatial analysis in support of the council’s service planning, or by managing Hertfordshire County Council’s Enterprise ESRI suite, including application support (desktop and web), web services, and spatial datasets. If you have a passion for data and information and want to use your analytical and GIS skills to bring it to life and help, make a difference to communities in Hertfordshire, then this role is for you.
An exciting opportunity has arisen within the team to support the development and management of Hertfordshire’s enterprise deployment of the ESRI suite of products. The post holder will provide GIS expertise, analysis and technical support for web and desktop to the user base. You will also work alongside other analysts on a variety of projects across the council, utilising a variety of different data types from often disparate sources to analyse and visualise information, making it accessible and presenting findings in a logical and attractive way.
To be successful in this role you will have the following essential criteria:
- Qualification in GIS or related subject at degree or postgrad level, or significant experience in a similar role.
- Experienced and accomplished user of Arc Pro desktop software, tools and extensions. Competent and demonstrable skills in use of ArcGIS Online and Portal for ArcGIS to include creation of content/web maps and admin of these systems.
- Experience of supporting others in a GIS/Technical capacity.
- Knowledge/experience of creating web applications.
- Experience of maintaining and processing geospatial datasets including within relational databases.
- Experience in building automated workflows and geoprocessing models using Model Builder, Python or equivalent.