Data Analyst – Remote Sensing

This is a fully remote position, open to applicants in Kenya, +2 more countries.

📋 Description

• Acquire, process, and analyze satellite imagery, including Sentinel, Landsat, MODIS, and Planet, as well as vegetation indices, rainfall, and soil moisture data.

• Develop and sustain workflows for mapping crop types, monitoring crop conditions, estimating yields, and assessing losses.

• Validate remote sensing results using ground-truth data obtained from crop cutting experiments and field surveys.

• Utilize GIS tools to work with field boundaries, GPS points, and administrative layers.

• Assist in spatial sampling design for crop cutting experiments and surveys.

• Conduct data quality checks on remote sensing and field-collected data in accordance with standard operating procedures (SOPs).

• Identify deficiencies in quality-check SOPs and suggest enhancements.

• Configure surveys and assign field agents using the in-house data collection tool.

• Aid in the creation of surveys and engage in crop cutting experiment and survey activities as necessary.

• Recognize project risks and issues and propose effective solutions.

• Determine suitable methods for data analysis, quality checks, and operational assessments.

• Document findings, create reports and maps, and offer recommendations.

• Develop and assess processes and procedures aimed at enhancing project operations.

• Prepare training materials, protocols, and technical documentation.

• Train field staff on new systems and procedures.

• Provide the manager with regular updates on a daily, weekly, and ad-hoc basis.

⛳️ Requirements

• Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, Geography/Geoinformatics, Environmental Science, Information Systems, or a related discipline.

• At least 2 years of experience in data analysis, preferably within a dynamic NGO or agri-tech setting.

• Proven experience with satellite imagery or geospatial data.

• Proficiency in Python and R, including geospatial libraries such as rasterio, geopandas, GDAL, sf, and terra.

• Familiarity with GIS software like QGIS or ArcGIS and cloud platforms such as Google Earth Engine.

• Competence in data visualization tools like Power BI or similar applications.

• Knowledge of SQL.

• Experience with mobile data collection tools such as CommCare, KoboToolbox, or SurveyCTO.

• Understanding of statistical methods applicable to validation, sampling, and model evaluation.

• Capability to communicate complex technical information clearly through writing and verbal skills.

• Ability to transform technical data into presentations and maps for varied audiences.

• Strong collaboration skills and a team-oriented mindset.

• Self-motivated and capable of working independently with minimal oversight.

• Proficient in managing multiple tasks, prioritizing effectively, and meeting deadlines.

• Experience in agricultural insurance, index-based products, or smallholder farming contexts is a plus.

• Familiarity with SAR data, weather data, or cloud-based geospatial pipelines is desirable.

🏝️ Benefits

• No specific benefits or compensation extras mentioned.