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About the role
Collect and compile data from lab tests (Germination, Genetic purity, Moisture, Vigour, Seed health, etc.) Maintain and update databases for internal and external quality tests (R R, SPC, PT, MRM, Ring Tests) Monitor compliance with ISTA / NABL / in-house quality standards Analyse trends in seed quality parameters across lots, locations, seasons Develop dashboards and quality scorecards (e.g. % pass rate, customer complaints, lab variation) Generate batch-wise or crop-wise quality performance reports Perform variance and root cause analysis for failed lots or complaints Use historical data to forecast lot performance and predict risks Track the impact of corrective or preventive actions (CAPA) Identify bottlenecks or quality drop points using statistical methods Collaborate with production, R D, and Seed Tech Research to align quality goals Experience : Minimum 2 to 4 years of experience in the same role. Strong in MS Excel, SQL, Power BI/Tableau, Python/R (basic level) Understanding of SPC (Statistical Process Control) in agricultural B.Sc. / M.Sc. in Agriculture, Seed Technology, Statistics, Data Science, or related field
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