Data Analyst

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