Data Analyst (Geospatial) in West Bromwich

Location: Bristol, UK (Hybrid working opportunities; minimum requirement one day a week in Bristol office)

About Tree Aid: At Tree Aid, we believe trees and people are deeply connected. More than just nature’s gift, trees are a lifeline — vital for survival, resilience and opportunity. Our mission goes beyond just planting trees, as we work to create lasting change for both people and the planet. Since 1987, we’ve partnered with communities across Africa, harnessing the power of trees to improve lives and advocate for those most affected by poverty and the climate crisis. Through our work, we restore ecosystems, build sustainable livelihoods, and drive positive climate action. By working hand in hand with local communities, we prioritise their knowledge and needs to make an impact that lasts for generations.

About the role: The Data Analyst (Geo-Spatial) is a key position in the Monitoring & Evaluation team and works closely with the wider Programmes Team to support the process of collecting, analysing, managing and storing high quality data. The position is pivotal in the development and implementation of a new digital Information Management System (IMS) for the organisation’s Monitoring and Evaluation data. This involves working in partnership with a range of both internal and external stakeholders. The position will play a key role in turning geospatial evidence into insight for programme quality, landscape impact and carbon integrity.

• Lead on the analysing and interpretation of geo-spatial data across the organisation using a range of GIS, remote sensing and spatial analysis tools to support monitoring, evaluation and learning.
• Produce spatial analyses and maps to assess restoration, tree cover, land use and ecosystem change over time at project and landscape scale.
• Develop, maintain and manage online dashboards and visual analytics products to support programme management, learning and decision-making.
• Working with external developers, design and maintain digital data collection tools and workflows, covering data capture, aggregation, analysis and visualisation for project indicators and organisational Key Performance Indicators (KPIs).
• Develop and maintain the organisational M&E geospatial database, focusing on areas of land benefiting from restoration activities, including tree planting, tree survival, landscape regeneration, and agroforestry systems.
• Work closely with the NbS and Carbon team to produce, analyse and quality-assure geospatial data used for carbon programmes, including baseline development, monitoring and verification.
• Support landscape-level impact assessment by integrating geospatial data with field monitoring data and other information sources.
• Implement and uphold good data management practices, including: data quality checks, version control, documentation, secure storage and data governance.
• Work together with the other members of the Monitoring and Evaluation team on improving technical support of all Tree Aid programmes.
• Digital Survey Creation: Using software solutions to create digital surveys to be administered via phone/tablet by field staff.
• Learn and develop new software applications with vision for integration into Tree Aid workflow.

About you: Person Specification: Qualifications/Knowledge and Experience

• Experience using Python for data analysis and visualisation, particularly in the context of spatial data.
• Experience of producing interactive maps drawing on a range of data sources.
• Experience using GIS software applications (preferably QGIS) for processing and visualising spatial data.
• Experience with version control tools such as Git and GitHub.
• Working with and analysing complex data sets.
• Commitment to the vision and values of Tree Aid.
• Enthusiastic and positive attitude; flexible and adaptable.
• Ability to use own initiative, to self-manage responsibilities, and deliver tasks in a timely manner.
• Excellent MS Office including MS Excel, MS Word, and MS PowerPoint.
• Excellent written and verbal communication skills (English).
• Right to live and work in the UK.
• Experience working with remote sensing datasets.
• Experience of creating digital survey forms in open-source software for collecting data and using logical functions to limit or control questions and answers.
• Experience of developing and managing relational databases.
• Experience with: OnaData (AKUKO).
• Experience with: Open Data Kit (ODK).
• Experience with: R programming language for data processing and analysis.
• Experience with: Google Earth Engine.
• Experience with: Deep learning (e.g., SciPy, Pytorch, Tensor).
• Understanding of: Carbon dynamics and Land Restoration.
• Experience in the: Voluntary Carbon Market (VCM).