About the Role<\/p>\n
\tFrom R&D to sales to strategy to operations, the Global R&D Data Analyst has the unique opportunity to improve decision-making across all aspects of One Acre Fund\u2019s program using many diverse data types, such as sales, yield, demographic and satellite data, to help us reach more farmers with greater impact.\u00a0
\n\tThe Global R&D Data Analyst will help us reach over one million farmers by executing analyses for strategic decision-making on repayment, expansion, and other business functions, and work directly with program leaders to interpret results and make data-driven decisions. The Global R&D Data Analyst will play an integral role in shaping One Acre Fund\u2019s data strategy, including dreaming up and executing new ways to use our data to improve our program.
\n\tAdditionally, One Acre Fund has a robust agronomic and socioeconomic research program spanning all countries of operation. This role will work closely with country R&D teams to ensure all trials are executed at the highest possible standards, provide follow-up analytical support and training to team members, and support with warehousing of our agronomic data to make our research outputs accessible to external collaborators, further increasing One Acre Fund\u2019s smallholder farmer impact across the continent.
\n\tTo succeed in this role, you will need to be a strong communicator and have a solid analytical background with experience in experimental design. You will need to be comfortable interpreting ambiguous results generated with imperfect data and advising leaders on the relative risk associated with different decisions based on the results of your analysis.\u00a0<\/p>\n
This is a deliberately hybrid role. Success requires the ability to operate effectively as:<\/p>\n
\tan experimental methodologist (trial design & causal inference),
\n\tan applied data scientist (production analytics, geospatial methods, modelling), and
\n\ta delivery-oriented project manager (prioritisation, documentation, coordination).<\/p>\n
Responsibilities<\/p>\n
Own methodological rigour and analytical quality for trials and surveys (30%):<\/p>\n
\tDesign and analyse trials and surveys, including:<\/p>\n
\t\tSample size and power calculations
\n\t\tStratification and experimental design
\n\t\tRecommend the appropriate statistical methods (e.g., hypothesis testing, regression, ANOVA\/mixed models)<\/p>\n
\tLead analysis of agronomic and product trials to estimate treatment effects and program impact
\n\tQuality assure trial designs and analyses produced by other analysts
\n\tTranslate trial findings into clear recommendations for product design, agronomic guidance, and program strategy.<\/p>\n
Develop scalable analytical products and decision-support tools using program, survey, and spatial data (30%):<\/p>\n
\tBuild, maintain, and improve analytical pipelines and production codebases that power operational decision tools (e.g., sowing date or input recommendations), including occasional support at the production level.
\n\tIntegrate survey, MEL, and operational data with geospatial layers (soil, climate, vegetation, remote sensing) to generate localised recommendations and program targeting strategies.
\n\tConduct spatial and remote-sensing analyses for program design, prioritisation, and impact estimation (e.g., soil erosion modelling, site suitability analysis).
\n\tAnalyse historical trial and soil data to generate input and soil management recommendations (e.g., lime application, fertiliser rate application).
\n\tEvaluate potential impact of alternative interventions and support pilot design, iteration, and scale decisions.
\n\tTranslate analyses into decision-ready outputs (briefs, dashboards, and memos) for non-technical stakeholders.
\n\tIdentify new, high-leverage analytical use cases that improve program reach, impact, or cost-effectiveness.<\/p>\n
Lead impact data management and project management (~20%)<\/p>\n
\tLead curation and standardisation of historical yield, agronomic practice, and trial datasets to enable reuse and external research collaboration.
\n\tOwn knowledge management for impact data and trials, including:<\/p>\n
\t\tCentral documentation of methodologies, assumptions, sample sizes, and results for all projects
\n\t\tReusable analysis templates and reference implementations<\/p>\n
\tManage external data requests in compliance with client data protection and confidentiality protocols.<\/p>\n
Provide portfolio-level project management (~20%):<\/p>\n
\tMaintain project plans, priorities, and timelines
\n\tTrack dependencies and risks
\n\tCoordinate with program and R&D stakeholders to identify potential delivery risks
\n\tEstablish durable documentation and planning systems (e.g., project roadmaps, project trackers, shared repositories).<\/p>\n
Career Growth and Development<\/p>\n
\tWe have a strong culture of constant learning, and we invest in developing our people. You\u2019ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You\u2019ll have the opportunity to shape a growing organization and build a rewarding long-term career.<\/p>\n
Qualifications<\/p>\n
Across all roles, these are the general qualifications we look for. For this role specifically, you will have:<\/p>\n
\tBachelor’s Degree in one of the following fields: economics, econometrics, mathematics, or statistics
\n\tProficiency in R and\/or Python, including working knowledge of –<\/p>\n
\t\tDatabase connectivity (e.g., PostgreSQL) to enable data retrieval, manipulation, and storage from various databases
\n\t\tInteract with RESTful APIs (e.g., JSON, XML)
\n\t\tData manipulation libraries (e.g., dplyr, tidyr) for efficient data wrangling, transformation, and exploration
\n\t\tPackages for data visualisation (e.g., ggplot2, lattice, plotly)
\n\t\tAdvanced statistical analysis and modelling (stats, lme4, survival)
\n\t\tMachine learning frameworks (e.g., randomForest, xgboost, caret) for building predictive models and conducting machine learning tasks
\n\t\tPackages for data manipulation and visualisation, such as numpy, pandas, and Matplotlib
\n\t\tSpatial data manipulation libraries (geopandas, rasterio, shapely, GDAL)<\/p>\n
\tIn-depth knowledge of statistically rigorous trial design methodologies, including RCTs, side-by-side comparisons, RCBD, and other experimental designs
\n\tIn-depth knowledge of statistically rigorous survey design methods, including random, stratified, and cluster sampling
\n\tKnowledge of relevant meteorological, soil, and vegetation data layers and sources, their uses and limitations (e.g., iSDA, ISRIC, CHIRPS, TAMSAT, NASA, Sentinel Hub, Google Earth Engine, AWS)
\n\tWorking knowledge of agronomy, e.g., practical understanding of fertiliser nutrient compositions, plant populations, growing degree days, GxE interactions.
\n\tWorking knowledge of GIS tools such as ArcGIS and QGIS, and spatial data analysis techniques.
\n\tProficiency in version control, such as Git\/GitHub.
\n\tAbility to easily explain technical concepts to non-technical decision makers and grow the analytical skills of others.
\n\tExcellent written and verbal communication skills for coordinating across teams.<\/p>\n
Demonstrated ability to manage multiple analytical projects in parallel, including:<\/p>\n
\tScoping ambiguous analytical problems and translating them into deliverable plans
\n\tPrioritising work against timelines and stakeholder needs
\n\tTracking progress, managing dependencies, and proactively unblocking delivery risks
\n\tMaintaining clear documentation and project plans to ensure continuity and institutional memory<\/p>\n
Application Deadline<\/p>\n
10 July, 2026<\/p>\n
go to method of application \u00bb<\/p>\n
Use the link(s) below to apply on company website. \u00a0<\/p>\n
Apply Through:<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"","_company_name":"One Acre Fund","_company_website":"https:\/\/www.oneacrefund.org\/","_company_tagline":"One Acre Fund is a nonprofit organization that supplies smallholder farmers in East Africa with asset-based financing and agriculture training services to reduce hunger and poverty.","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[692],"job-categories":[693,720,719,700],"job-types":[689],"class_list":{"0":"post-96972","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"job_listing_region-nairobi","7":"job-type-contract"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings\/96972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=96972"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=96972"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=96972"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=96972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}