{"id":3152650,"url":"https://alion.io/job/pula-data-analyst-remote-sensing","title":"Data Analyst-Remote Sensing","company":{"id":177446,"name":"Pula","domain":"pula-advisors.com","url":"https://alion.io/company/pula","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Kenya"],"countries":["KE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"GDAL","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"QGIS","optional":true}],"status":"closed","first_seen_at":"2026-10-23T13:09:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T13:13:20Z","board_verified":false,"closed_at":"2026-10-25T13:13:20Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"JOB DESCRIPTION\nLocation:\nRemote 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).\nReports to:\nAssociate Manager, Analytics & Insights\nAbout Pula:\nAt Pula, we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide.\nWe 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.\nPula 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.\nAt Pula, we are:\nObsessed with results: We are responsible for our future and therefore we get things done!\nConnect the Dots: We continuously identify different customer needs & business problems and build solutions that deliver value.\nHave a Can do Attitude!We dare to do things differently to make things work.\nWe have each others’ back:We look out for each other & we share high quality, timely feedback that makes us better.\nPosition Overview\nAs 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.\nResponsibilities\nRemote sensing and geospatial analysis\nAcquire, process, and analyze satellite imagery (e.g., Sentinel, Landsat, MODIS, Planet) and derived products such as vegetation indices (NDVI, EVI), rainfall, and soil moisture.\nDevelop and maintain workflows for crop type mapping, crop condition monitoring, yield estimation, and loss assessment.\nValidate remote sensing outputs using ground-truth data from crop cutting experiments (CCEs) and field surveys.\nWork with geospatial data, including field boundaries, GPS points, and administrative layers, in GIS tools.\nSupport sampling design, including spatial sampling, for CCEs and surveys.\nData quality and field operations\nRun data quality checks on remote sensing and field-collected data following SOPs.\nIdentify gaps in current quality check SOPs and recommend improvements.\nConfigure surveys and allocate field agents on the in-house data collection tool.\nAssist in survey creation and participate in CCE and survey work as required.\nAnalysis, reporting, and improvement\nUse data analytics and project knowledge to identify risks and issues within projects, and propose practical solutions.\nDetermine appropriate methods for data analysis, quality checks, and operations assessment.\nDocument findings, prepare reports and maps, and make recommendations based on your analysis.\nDevelop new processes and procedures to improve project operations, and evaluate their effectiveness once implemented.\nDraft training materials, protocols, and technical documentation, and train field staff on new systems and processes.\nKeep the manager informed through regular daily, weekly, and ad-hoc updates.\nDemonstrate honesty and transparency, and communicate directly and openly, giving feedback constructively.\nRequirements\nEducation and experience\nBachelor’s degree in Statistics, Economics, Agricultural Economics, Agribusiness Management, Geography/Geoinformatics, Environmental Science, Information Systems, or a related field.\nMinimum of 2 years of experience in data analysis, preferably in a fast-paced NGO or agri-tech environment.\nDemonstrated experience working with satellite imagery or geospatial data.\nTechnical skills\nProficiency in Python and R (required), including geospatial libraries (e.g., rasterio, geopandas, GDAL, sf, terra).\nExperience with GIS software (QGIS or ArcGIS) and cloud platforms such as Google Earth Engine.\nProficiency in data visualization tools such as Power BI or similar.\nKnowledge of SQL (required).\nFamiliarity with mobile data collection tools such as CommCare, KoboToolbox, or SurveyCTO.\nKnowledge of statistical methods for validation, sampling, and model evaluation (preferred: machine learning for classification or regression).\nSkills and competencies\nAbility to explain complex technical information through clear writing and strong verbal communication.\nAbility to turn technical data into presentations and maps for diverse audiences.\nStrong collaboration skills and team spirit.\nSelf-driven, able to work independently with minimal supervision.\nAbility to manage multiple tasks, prioritize, and meet deadlines.\nNice to have\nExperience with agricultural insurance, index-based products, or smallholder farming contexts.\nExperience with SAR data, weather data, or cloud-based geospatial pipelines.\nWe 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.\nTo learn more about Pula:\nTED Talk: Crop Insurance, an Idea Worth Seeding\nNew York Times: He Grew up on a Farm. Now, He Helps Protect Them\n The Economist: The Poor, Who Most Need Insurance, Are Least Likely to Have It","description_format":"text","description_chars":5778,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Egypt","iso":"EG","kind":"country"},{"name":"Kenya","iso":"KE","kind":"country"},{"name":"Nigeria","iso":"NG","kind":"country"},{"name":"South Africa","iso":"ZA","kind":"country"},{"name":"Algeria","iso":"DZ","kind":"country"},{"name":"Angola","iso":"AO","kind":"country"},{"name":"Benin","iso":"BJ","kind":"country"},{"name":"Botswana","iso":"BW","kind":"country"},{"name":"Burkina Faso","iso":"BF","kind":"country"},{"name":"Burundi","iso":"BI","kind":"country"},{"name":"Cameroon","iso":"CM","kind":"country"},{"name":"Cape 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