6623 - NCEA Higher Officer Project Support - Data
| Posting date: | 18 June 2026 |
|---|---|
| Salary: | £32,240 per year |
| Hours: | Full time |
| Closing date: | 05 July 2026 |
| Location: | UK |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | Natural England |
| Job type: | Contract |
| Job reference: | 6623 |
Summary
The team - The England Ecosystem Survey (EES) is Natural England’s largest ever field survey project – an ambitious and high-profile initiative to collect ecosystem data from a wide range of habitats across England. It is a cornerstone project within the Natural Capital and Ecosystem Assessment programme; led by Defra, and part of the government’s major projects portfolio.
The EES project is using professional survey as a tool to provide high quality data to assess the state and condition of biodiversity, ecosystems, and natural capital assets within England’s habitats and landscapes. It will address existing data gaps, including soils.
This varied and often fast paced role will provide project support to the wider EES project team by assisting colleagues with logistics and survey equipment, data publication, GI desk studies, data collection and cleansing, and the design and implementation of vegetation, landscape, and soils surveys.
The role will involve some travel at times throughout the year with potential overnight stays.
Job description
Key Tasks/Principal Accountabilities
• Contribute to the design, development and maintenance of robust, annotated and version controlled analytical pipelines (primarily in R) to support data ingestion, processing, quality assurance, analysis and visualisation.
• Ensuring analytical solutions are efficient, scalable, reusable and aligned with best practice.
• Plan and deliver statistical analyses and high-quality visualisations of field and laboratory data, providing clear interpretation to support evidence-based decision making.
• Work proactively with data leads, data owners and wider stakeholders to define analytical requirements, translate business needs into analytical solutions, and advise on methodological options.
• Support analytical assurance, ensuring all data management, analysis and outputs comply with QFAIR principles, the Government Statistical Code of Practice, and internal governance and quality standards.
• Contribute to the preparation, formatting and validation of data for publication, ensuring outputs are accurate, accessible and fit for public release.
• Provide technical guidance to colleagues, contributing to capability building within the team and wider organisation.
Whilst the work in this role will ostensibly be related to data, the successful candidate will be required to show flexibility in managing and adapting to other work should team priorities or resources change.
The EES project is using professional survey as a tool to provide high quality data to assess the state and condition of biodiversity, ecosystems, and natural capital assets within England’s habitats and landscapes. It will address existing data gaps, including soils.
This varied and often fast paced role will provide project support to the wider EES project team by assisting colleagues with logistics and survey equipment, data publication, GI desk studies, data collection and cleansing, and the design and implementation of vegetation, landscape, and soils surveys.
The role will involve some travel at times throughout the year with potential overnight stays.
Job description
Key Tasks/Principal Accountabilities
• Contribute to the design, development and maintenance of robust, annotated and version controlled analytical pipelines (primarily in R) to support data ingestion, processing, quality assurance, analysis and visualisation.
• Ensuring analytical solutions are efficient, scalable, reusable and aligned with best practice.
• Plan and deliver statistical analyses and high-quality visualisations of field and laboratory data, providing clear interpretation to support evidence-based decision making.
• Work proactively with data leads, data owners and wider stakeholders to define analytical requirements, translate business needs into analytical solutions, and advise on methodological options.
• Support analytical assurance, ensuring all data management, analysis and outputs comply with QFAIR principles, the Government Statistical Code of Practice, and internal governance and quality standards.
• Contribute to the preparation, formatting and validation of data for publication, ensuring outputs are accurate, accessible and fit for public release.
• Provide technical guidance to colleagues, contributing to capability building within the team and wider organisation.
Whilst the work in this role will ostensibly be related to data, the successful candidate will be required to show flexibility in managing and adapting to other work should team priorities or resources change.