• Conduct and automate geospatial data processing and analysis using tools such as Python, QGIS, and Google Earth Engine (GEE). • Validate, clean, and visualise datasets to ensure accuracy, reproducibility, and consistency across projects. • Transform raw field and satellite data into actionable outputs for client reports and project deliverables. • Support interpretation of client requirements and deliver high-quality, client-facing results. • Contribute to remote sensing services of the Advisory team. • Support the execution of geospatial analysis procedures by performing in depth-analysis at farm-plot level and providing insights that support environmental risks assessments. • Contribute to data catalogues, manuals, dictionaries, glossaries, and other technical references to support knowledge sharing. • Ensure scripts, models, and workflows are fully documented and reproducible for use across (Consulting) projects and teams. • Work closely with Product, Customer Success & Support and Engineering teams to improve workflows, tooling, and data pipelines used in consulting projects. • Provide insight and feedback on process improvements that enhance project efficiency and client outcomes. • Build growing expertise in geospatial data processing and analytical best practices for consulting engagements. • Seek guidance from senior analysts on technical workflows and project execution while developing independent judgement. • Contribute to continuous improvement initiatives for internal data processes, methodologies and client-facing outputs.
• 2-4 years of experience in a relevant role. • Experience working with geospatial data, remote sensing and GIS. • Rigorous problem-solving and analytical skills. • Ability to effectively and efficiently collect and organise data from multiple sources. • Understanding of data management and data entry processes. • Experience with python, QGIS and Google Earth Engine. • Independently driven, proactive, accountable and a reliable team player. • Experience in, or interest to quickly build experience in, contact with customers both online and in person. • Full working proficiency in English.
• Market rate salary commensurate with your skills and competencies. • Four-day work week. • A remote working position. • Being part of a fast-growing impact venture with an informal, professional work culture. • A laptop and an external monitor for your work. • Annual employee led Learning & Development budget. • Being part of a fast-growing impact venture with an informal, professional work culture. • Engaging with team members, clients and users in various other countries.
Geospatial Data Analysis; Remote Sensing; GIS; Python; QGIS; Google Earth Engine; Data Management; Data Visualization; Data Processing; Data Pipelines; Environmental Risk Assessment
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