Agricultural Data and Analytics Specialist

Role Overview

• Lead quality assurance (QA) of datasets prepared by the Data Officer and Data Associate to ensure accuracy, consistency, and completeness.
• Standardize data structures, collection formats, and documentation across projects.
• Maintain data processing SOPs and coordinate harmonization of project databases (farmer data, farm plots, training records, monitoring indicators).
• Analyze agricultural and project datasets to generate insights on smallholder participation, farm characteristics, production, traceability, and program performance.
• Produce dashboards, visualizations, and analytical summaries to support project teams.
• Prepare and review data inputs for project and donor reporting (e.g., monthly and quarterly reports, monitoring indicators).
• Review and develop AI training datasets and knowledge content on agronomic practices for the AI chatbot, ensuring accuracy, relevance to local farming contexts, and usability for project implementation and farmer support.
• Together with the Data Associate, serve as an administrator responsible for managing, and maintaining project dashboards and project data systems.
• Ensure project indicators and datasets are updated, integrated, and accessible.
• Support development and tracking of project monitoring and evaluation (M&E) indicators.
• Conduct analysis to assess program progress, outcomes, and key trends.
• Provide technical guidance to Data Officers on data management and analysis.
• Coordinate with project managers and field teams to ensure smooth data collection, processing, and reporting workflows.
• Collaborate with partners and data vendors to ensure data quality standards are implemented.

Requirements

• Bachelor’s or Master’s degree in: Agriculture, Agronomy, Agricultural Economics, Data Science, Environmental Science, GIS / Geospatial Science or related fields.
• 3–6 years of experience in agricultural data analysis or project data management.
• Fluency in English and Bahasa Indonesia.
• Experience working with smallholder agriculture datasets.
• Experience supporting development programs or sustainability initiatives and developing monitoring and evaluation framework.
• Experience in data management and quality assurance.
• Strong proficiency in data management tools (advanced Excel / Google Sheets), GIS and geospatial data (QGIS) as well as data cleaning and structuring.
• Strong proficiency in data analysis: basic statistical analysis, data visualization (Google Slide, Looker Studio, PowerBI, Tableau)
• Experience in the following sectors is highly valued: Sustainable agriculture; Palm oil / coconut / coffee / commodity supply chains; Smallholder development programs; Environmental or landscape monitoring.

Tech Stack

• Tableau

Benefits

• Market rate salary commensurate with your skills and competencies
• Four-day work week
• A remote working position
• Being part of a fast-growing impact venture with an informal, professional work culture
• Engaging with team members, clients and users in various other countries