Data Analyst - Agriculture Sector

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 interventions.

Job Duties & Responsibilities:

• Build and maintain the "Historical Farm Profile" database, ensuring all data from field engineers and lab results are accurately and consistently recorded

• Collect, 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 analysis
• Calculate cost vs. yield metrics, tracking how Linah's interventions impact the client's bottom line
• Calculate and track the broader ROI of Linah's interventions (e.g., input recommendations, technology adoption, training programs) against baseline performance
• Prepare the data that feeds into the Client Digital Dashboard, including implementation rates and technical program progress
• Build dashboards and visualizations that clearly communicate farm performance trends over time
• Analyze trends across different regions to provide the R&D and Technical teams with early warnings about pest outbreaks or climate impacts
• Design and generate the standardized, logic-based technical reports delivered to clients
• Prepare regular performance reports for clients and internal management, translating technical data into plain-language insights
• Collaborate with field agronomists/engineers to ensure data collected is accurate, complete, and relevant
• Maintain data quality standards and documentation for all datasets, databases, and reporting processes
• Support management with ad hoc data requests and predictive analysis for planning and forecasting
• Continuously improve reporting templates, dashboards, and analytical methods based on client and management feedback

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 for data querying, database maintenance, and manipulation
• Experience with Python or R for data processing/analysis is a plus
• Ability to build clear, digestible dashboards and reports for both technical teams and non-technical audiences
• Strong understanding of basic agricultural concepts (crop cycles, yield metrics, farm inputs) or willingness to learn quickly
• Excellent analytical thinking and attention to detail
• Strong communication skills — able to translate numbers into a story for clients and management

Benefits

• Job location: Head office
• Medical insurance
• Social insurance
• Bonus upon company policy