Requirements
Bachelor's degree in Data Science, Statistics, Agricultural Economics, Agronomy, Computer Science, or a related field. 3+ years of experience in data analysis, ideally within agriculture, agtech, or FMCG, or supply chain sectors. Strong proficiency in Excel and at least one analytics/BI tool (e.g., Power BI, Tableau, Looker). Working knowledge of SQL. Experience with Python or R is a plus. Ability to build clear dashboards and reports. Strong understanding of basic agricultural concepts.
Description
Position Summary:Linah is looking for a detail-oriented Data Analyst to turn raw agricultural field data into clear, actionable insight. The data analyst will be the bridge between what happens on client farms and the decisions made by both clients and Linah's technical support department — processing field metrics, building performance reports, flagging risks early, and quantifying the return on investment (ROI) of Linah's interventionsJob Duties & Responsibilities:Build and maintain the Historical Farm Profile database, ensuring all data from field engineers and lab results are accurately and consistently recordedCollect, clean, and validate agricultural data gathered from client farms (yield, soil health, irrigation, inputs usage, weather, crop cycles, etc.)Process and structure raw field data into usable datasets for analysisCalculate cost vs. yield metrics, tracking how Linah's interventions impact the client's bottom lineCalculate and track the broader ROI of Linah's interventions (e.g., input recommendations, technology adoption, training programs) against baseline performancePrepare the data that feeds into the Client Digital Dashboard, including implementation rates and technical program progressBuild dashboards and visualizations that clearly communicate farm performance trends over timeAnalyze trends across different regions to provide the R&D and Technical teams with early warnings about pest outbreaks or climate impactsDesign and generate the standardized, logic-based technical reports delivered to clientsPrepare regular performance reports for clients and internal management, translating technical data into plain-language insightsCollaborate with field agronomists/engineers to ensure data collected is accurate, complete, and relevantMaintain data quality standards and documentation for all datasets, databases, and reporting processesSupport management with ad hoc data requests and predictive analysis for planning and forecastingContinuously improve reporting templates, dashboards, and analytical methods based on client and management feedbackRequirementsBachelor's degree in Data Science, Statistics, Agricultural Economics, Agronomy, Computer Science, or a related field3+ years of experience in data analysis, ideally within agriculture, agtech, or FMCG, or supply chain sectorsStrong proficiency in Excel and at least one analytics/BI tool (e.g., Power BI, Tableau, Looker)Working knowledge of SQL for data querying, database maintenance, and manipulationExperience with Python or R for data processing/analysis is a plusAbility to build clear, digestible dashboards and reports for both technical teams and non-technical audiencesStrong understanding of basic agricultural concepts (crop cycles, yield metrics, farm inputs) or willingness to learn quicklyExcellent analytical thinking and attention to detailStrong communication skills — able to translate numbers into a story for clients and managementBenefitsJob location: Baharia OasisMedical insuranceSocial insurance Bonus upon company policy