Data Quality & Assurance Consultant – Agriculture Sector

Position: Data Quality & Assurance Consultant

Industry: Agriculture / Agri-Tech / Farm Research

Job Summary:

We are seeking a Data Quality & Assurance Consultant to ensure the accuracy, consistency, and reliability of agricultural and field data collected from farms, surveys, soil sampling activities, crop monitoring programs, and research projects. The consultant will support data validation, quality audits, reporting, and compliance with project standards.

Key Responsibilities:

1. Review and validate agricultural field data, survey data, soil sample records, and farm-related datasets.
2. Conduct data quality checks to identify missing, inaccurate, or inconsistent information.
3. Monitor data collection processes and ensure adherence to quality standards.
4. Coordinate with field teams, agronomists, and research staff to resolve data discrepancies.
5. Prepare data quality reports, dashboards, and audit findings.
6. Support data governance, documentation, and compliance requirements.
7. Recommend process improvements to enhance data accuracy and efficiency.

Requirements:

1.



Bachelor's/Master's degree in Agriculture, Agronomy, Statistics, Data Science, Agricultural Engineering, or related field.
2. Experience in agricultural research, farm data management, field survey monitoring, or data quality assurance.
3. Proficiency in Excel, SQL, Power BI, or other data analysis tools.
4. Understanding of agricultural datasets, soil sampling, crop monitoring, and field operations.
5. Solid analytical, reporting, and problem-solving skills.
6. Willingness to coordinate with field teams and travel occasionally, if required.

Experience: 2–5+ Years

Location: As per project requirement

Employment Type: Full-Time / Contract

Preferred Skills:

1. Experience with agricultural research projects, carbon farming, sustainability programs, or GIS-based data collection.
2. Knowledge of mobile data collection platforms such as ODK, KoboToolbox, SurveyCTO, or similar tools.

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