Data Analyst-Remote Sensing
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026.
JOB DESCRIPTION
Location:
Remote within ±3 hours of the EAT time zone. Preference for candidates located in Africa/ in countries where Pula has an office (e.g. Kenya, Ethiopia, Zambia).
Reports to:
Associate Manager, Analytics & Insights
About Pula:
At Pula, we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide.
We work in over 14 countries across Africa and Asia, and by 2020, we have facilitated crop insurance cover to over 4.7 million farmers across Kenya, India, Rwanda, Uganda, Nigeria, Mali, Senegal, Zambia, Ethiopia, Madagascar, Tanzania, and Malawi. Since raising our Series A our operations have expanded globally including now Asia and Latin America.
Pula is fast-paced, constantly adapting to new opportunities and challenges. We are a high-performance, multi-cultural team. We expect our team to value performance, results and professionalism.
At Pula, we are:
- Obsessed with results: We are responsible for our future and therefore we get things done!
- Connect the Dots: We continuously identify different customer needs & business problems and build solutions that deliver value.
- Have a Can do Attitude!We dare to do things differently to make things work.
- We have each others’ back:We look out for each other & we share high quality, timely feedback that makes us better.
Position Overview
As a Remote Sensing Data Analyst at Pula, you will turn satellite and geospatial data into reliable insights that support agricultural insurance products, yield estimation, and field operations. You will work closely with the Associate Manager and the data collection and field teams to validate remote sensing outputs against ground data, identify risks, and improve our analytical processes. We are looking for a motivated, data-driven person with strong documentation and project management skills who can move between strategic planning and hands-on analysis.
Responsibilities
Remote sensing and geospatial analysis
- Acquire, process, and analyze satellite imagery (e.g., Sentinel, Landsat, MODIS, Planet) and derived products such as vegetation indices (NDVI, EVI), rainfall, and soil moisture.
- Develop and maintain workflows for crop type mapping, crop condition monitoring, yield estimation, and loss assessment.
- Validate remote sensing outputs using ground-truth data from crop cutting experiments (CCEs) and field surveys.
- Work with geospatial data, including field boundaries, GPS points, and administrative layers, in GIS tools.
- Support sampling design, including spatial sampling, for CCEs and surveys.
Data quality and field operations
- Run data quality checks on remote sensing and field-collected data following SOPs.
- Identify gaps in current quality check SOPs and recommend improvements.
- Configure surveys and allocate field agents on the in-house data collection tool.
- Assist in survey creation and participate in CCE and survey work as required.
Analysis, reporting, and improvement
- Use data analytics and project knowledge to identify risks and issues within projects, and propose practical solutions.
- Determine appropriate methods for data analysis, quality checks, and operations assessment.
- Document findings, prepare reports and maps, and make recommendations based on your analysis.
- Develop new processes and procedures to improve project operations, and evaluate their effectiveness once implemented.
- Draft training materials, protocols, and technical documentation, and train field staff on new systems and processes.
- Keep the manager informed through regular daily, weekly, and ad-hoc updates.
- Demonstrate honesty and transparency, and communicate directly and openly, giving feedback constructively.
Requirements
Education and experience
- Bachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, Geography/Geoinformatics, Environmental Science, Information Systems, or a related field.
- Minimum of 2 years of experience in data analysis, preferably in a fast-paced NGO or agri-tech environment.
- Demonstrated experience working with satellite imagery or geospatial data.
Technical skills
- Proficiency in Python and R (required), including geospatial libraries (e.g., rasterio, geopandas, GDAL, sf, terra).
- Experience with GIS software (QGIS or ArcGIS) and cloud platforms such as Google Earth Engine.
- Proficiency in data visualization tools such as Power BI or similar.
- Knowledge of SQL (required).
- Familiarity with mobile data collection tools such as CommCare, KoboToolbox, or SurveyCTO.
- Knowledge of statistical methods for validation, sampling, and model evaluation (preferred: machine learning for classification or regression).
Skills and competencies
- Ability to explain complex technical information through clear writing and strong verbal communication.
- Ability to turn technical data into presentations and maps for diverse audiences.
- Strong collaboration skills and team spirit.
- Self-driven, able to work independently with minimal supervision.
- Ability to manage multiple tasks, prioritize, and meet deadlines.
Nice to have
- Experience with agricultural insurance, index-based products, or smallholder farming contexts.
- Experience with SAR data, weather data, or cloud-based geospatial pipelines.
We value innovation, integrity, and dedication in our team members. If you are passionate about using data to drive positive change and possess the required qualifications and competencies, we encourage you to apply and be part of our dynamic and impactful organization.
To learn more about Pula:
- TED Talk: Crop Insurance, an Idea Worth Seeding
- New York Times: He Grew up on a Farm. Now, He Helps Protect Them
- The Economist: The Poor, Who Most Need Insurance, Are Least Likely to Have It