Responsibilities<\/p>\n
Own methodological rigour and analytical quality for trials and surveys (30%):<\/p>\n
Design and analyse trials and surveys, including:<\/p>\n
\tSample size and power calculations
\n\tStratification and experimental design
\n\tRecommend the appropriate statistical methods (e.g., hypothesis testing, regression, ANOVA\/mixed models)
\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:
\n\tCentral documentation of methodologies, assumptions, sample sizes, and results for all projects
\n\tReusable analysis templates and reference implementations
\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
We 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\u00a0general qualifications we look for.\u00a0For 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 –
\n\tDatabase connectivity (e.g., PostgreSQL) to enable data retrieval, manipulation, and storage from various databases
\n\tInteract with RESTful APIs (e.g., JSON, XML)
\n\tData manipulation libraries (e.g., dplyr, tidyr) for efficient data wrangling, transformation, and exploration
\n\tPackages for data visualisation (e.g., ggplot2, lattice, plotly)
\n\tAdvanced statistical analysis and modelling (stats, lme4, survival)
\n\tMachine learning frameworks (e.g., randomForest, xgboost, caret) for building predictive models and conducting machine learning tasks
\n\tPackages for data manipulation and visualisation, such as numpy, pandas, and Matplotlib
\n\tSpatial data manipulation libraries (geopandas, rasterio, shapely, GDAL)
\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<\/p>\n
Apply Through:<\/p>\n
eacrefund.org<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"http:\/\/eacrefund.org","_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-94292","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\/94292","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=94292"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job_listing_region?post=94292"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-categories?post=94292"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/job-types?post=94292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}