Statut
Ouvert
• Job Type Full Time , Remote
• Qualification BA/BSc/HND
• Experience 2 years
• Location Kenya
• Job Field Data, Business Analysis and AI , ICT / Computer
• 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• 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.
• Experience with agricultural insurance, index-based products, or smallholder farming contexts.
• Experience with SAR data, weather data, or cloud-based geospatial pipelines.
• Qualification BA/BSc/HND
• Experience 2 years
• Location Kenya
• Job Field Data, Business Analysis and AI , ICT / Computer
• 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• 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.
• Experience with agricultural insurance, index-based products, or smallholder farming contexts.
• Experience with SAR data, weather data, or cloud-based geospatial pipelines.
• Job Type Full Time , Remote
• Qualification BA/BSc/HND
• Experience 2 years
• Location Kenya
• Job Field Data, Business Analysis and AI , ICT / Computer
• 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• 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.
• Experience with agricultural insurance, index-based products, or smallholder farming contexts.
• Experience with SAR data, weather data, or cloud-based geospatial pipelines.
NairobiCity found this advert on MyJobMag. The application is handled there, and that site may ask you to sign in or create an account.
Never pay to apply for a job. If anyone asks for a fee, stop and report the advert.
Sign in to report this listing
0 Commentaires
0 Parts
English
Arabic
Spanish
Deutsch
Italiano
Romaian
Portuguese (Brazil)
Greek
