Data Analyst (Geospatial)

Job description and person specification template

Job title: Data Analyst (Geospatial)

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

Duration: Permanent contract

Working hours: Full time, 35 hours a week

Salary: £32,165

Start date: As soon as possible

Responsible to: Monitoring, Evaluation, Accountability and Learning (MEAL) Advisor

Responsible for: Occasional volunteers

Overall aim:

Tree Aid works with people in the drylands of Africa to tackle poverty and the effects of the climate
crisis by growing trees and restoring and protecting land. As part of the Great Green Wall movement,
we work in landscapes where trees are needed most, where temperatures are rising, and fertile land
is being lost at an alarming rate.

Over 36 years, we have developed a pioneering, community-led approach that puts local people at
the centre of restoring and sustaining their environment, supported with the tools, skills and resources
they need to drive lasting change.

Tree  Aid  currently  has  operations  in  6  countries:  Burkina  Faso,  Ethiopia,  Ghana,  Mali,  Niger  and
Senegal with an annual turnover of approximately £12 million.

Role Objectives:

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 of 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.

Objectives include:

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•  Undertake Data analysis to support external reporting, donor requirements and internal

decision-making

•  Support Tree Aid visualise project data spatially through high-quality maps and geospatial

products

•  Build, maintain and further develop data pipelines to provide timely, reliable information

across the organisation

•  Evaluate, design and propose improved data collection methodologies to strengthen

monitoring systems and processes

•  Provide technical support to the Carbon and Nature-based Solutions (NbS) teams, including

geospatial analysis and data preparation

•  Work closely with the NbS and Carbon Manager to assess, interpret and quality-assure

evidence of landscape-level impact, including within carbon programmes

•  Contribute to the analysis of restoration, tree cover, land use and ecosystem change over

time using remote sensing and other geospatial techniques

•  Help Tree Aid develop its data and computing infrastructure, advise about platforms, tools

and external services

Key roles/ tasks:

Key:
•

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
landscape

including  tree  planting,  tree  survival,

benefiting  from  restoration  activities,
regeneration, and agroforestry systems

•  Work closely with the NbS and Carbon team to product, 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

Additional:
•  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 workflows
•  Any reasonable duty may be assigned that is consistent with the job and its level of responsibility

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Person specification:

E = Essential criteria

D = Desirable criteria

Qualifications/Knowledge and Experience

Essential
•

Experience using Python for data analysis and visualisation, particularly in the context of spatial
data.
•
Experience using SQL to query relational databases
•
Experience of producing interactive maps drawing on a range of data sources
•
Experience with Python and SQL programming languages for data processing and analysis
•  Experience using GIS software applications (preferably QGIS) for processing and visualising

spatial data
Experience with version control tools such as Git and GitHub

Enthusiastic and positive attitude; flexible and adaptable

•
•  Working with and analysing complex data sets
•  Commitment to the vision and values of Tree Aid
•
•  Ability to use own initiative, to self-manage responsibilities, and deliver tasks in a timely manner
•
•
•  Right to live and work in the UK

Excellent MS Office including MS Excel, MS Word, and MS PowerPoint
Excellent written and verbal communication skills (English)

•
•

•
•
•

•

Desirable
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 EngineExperience with: Deep learning (e.g., SciPy, Pytorch,
Tensor)

Experience in the Voluntary Carbon Market (VCM)

•  Understanding of Carbon dynamics and Land Restoration
•
•  Ability to transfer complex algorithms between softwares and coding languages
•  Ability to scientifically defend geospatial analysis outputs
•  Working knowledge of French
•  BSc/BA in relevant discipline

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