About us
Evenlode Landscape Recovery (ELR) is delivering one of Defra's ambitious 25-year Landscape Recovery programmes across the North East Cotswolds. Spanning approximately 3,031 hectares and around 50 farm holdings in the Dorn, Glyme and Evenlode river catchments, the programme brings together farmers, landowners and partners to restore rivers and habitats, improve water quality, reduce flood risk and create lasting environmental and economic value.
ELR works hand in hand with the North East Cotswold Farmer Cluster CIC, a farmer-led community interest company committed to nature-friendly farming at a landscape scale. Together we combine ambitious environmental delivery with a genuinely collaborative, farmer-first approach. As we move into an exciting delivery phase, we are building a talented team to help us realise our long-term vision.
The role
The Geospatial & Data Analyst keeps the programme's data working: spatial layers, monitoring results, survey deliverables and the evidence behind them. Working alongside the Data & Systems Lead, you'll help bring data from across the programme into one coherent, reliable picture, supporting delivery on the ground, robust decision-making, and the evidence we need for public funders, investors, lenders and buyers.
Key responsibilitiesGeospatial data management
- Process and maintain spatial data across the programme's GIS environment
- Manage GeoPackage structure, CRS consistency and layer standards
- Produce maps and spatial outputs for reporting, tenders and partner use
Data integration
- Receive, check and process deliverables from partners and consultants into a consistent spatial and temporal structure
- Manage outbound data as carefully as inbound preparing and issuing datasets to partners, consultants, funders and regulators, tracking licence terms and attribution requirements, and working with the Data & System leads where data-sharing agreements or personal data are involved.
- Help build and maintain a versioned evidence base as the programme's core record
Analysis
- Support the reconciliation of findings across different measurement streams, flagging where they don't line up
- Contribute to the programme-level picture, rolling data up from parcel to farm to scheme
- Help build change-over-time series from repeat surveys and monitoring
- Support measurement, reporting and verification (MRV) and the tracking of environmental units and outcomes
Assurance and quality
- Check consultant deliverables against specification, chasing and escalating issues
- Help maintain a clear audit trail across the evidence base
- Handle personal and commercially sensitive data in line with the programme's data-protection obligations
Evidence and reporting
- Run the day-to-day of the request and evidence tracker
- Maintain data room discipline and version control
- Support the reporting obligations calendar: board, funder and regulatory checkpoint reporting
Systems and automation
- Help maintain non-spatial databases, dashboards and reporting layers
- Work towards automating recurring processes
- Contribute to written procedures as the function matures
Person specification Essential
- Competent in QGIS (or transferable experience in ArcGIS or similar), with a solid grounding in spatial data formats, coordinate systems and version control
- Comfortable working with data beyond a pure GIS environment, confident with spreadsheets, databases and general data-handling tools
- Applies data best practice as a matter of habit: naming conventions, version control, documentation
- Able to organise and present data clearly to non-technical audiences
- Comfortable making progress with incomplete information, and confident asking the right questions
- Takes ownership of a task end to end, and flags problems early
- Open and confident using AI tools
- A degree in a numerate, scientific, environmental or related discipline, or equivalent practical experience
- UK-based, with the ability to travel occasionally to the project area
Desirable
- Some exposure to scripting or automation (Python, GeoPandas, SQL or similar), or a genuine appetite to learn
- Familiarity with relational databases such as Airtable
- Experience working with ecological, agricultural or environmental datasets
- An understanding of monitoring and evaluation approaches
- Experience of a small business or start-up environment
Attitude
- Wants to build something that lasts, not just clear a queue
- Comfortable with a role that mixes real technical depth with necessary routine
- Curious by nature, and actively looks for ways to make a process faster, cleaner or less manual
- Genuinely interested in the subject matter, ecology, agriculture, natural capital. You don't need a background in it, but you should want to understand the science behind the data you're handling
How we work
- We're a small team delivering a scheme at a serious scale, which means the process is still being built as we go. You'll help shape how this function works, and your remit will be wider than your job title suggests
- We move quickly and fix things as we learn, rather than waiting for the perfect process before we start
- You’ll be trusted with real responsibility early, owning datasets and the analysis built on them
- We're a close team. You'll work directly with the people making the decisions
- Remote-first, with occasional travel to the project area
What you'll get
- Real ownership from the start, in a function that's being built rather than maintained
- Direct exposure to the natural capital market and to the investors and partners buying into it
- Support to develop technically and room to grow, working closely with the Data & Systems Lead
- Flexible working, a workplace pension and a generous annual leave entitlement
- The chance to play a meaningful part in a flagship, long-term environmental programme
Pay: £28,000.00-£32,000.00 per year
Benefits:
- Company pension
- Flexitime
- Sick pay
- Work from home
Work Location: Hybrid remote in Oxford (Oxfordshire)
