Agronomy & Sustainability Analyst

''•Oakbrook Terrace, IL

1d•$58,800 - $78,500•Hybrid

About The Position

The Agronomy & Sustainability Data Analyst plays a critical role in advancing McCain’s data and analytics strategy across North American agronomy and sustainability initiatives. Supporting over 300 potato growers across multiple U.S. states and Canadian provinces, this role is responsible for transforming complex agricultural and operational data into actionable insights that drive yield, quality, carbon reduction, and regenerative agriculture outcomes. This position combines strong technical data expertise with applied agronomic understanding, focusing on standardizing and accelerating data collection, analytics, and insight delivery. The role reports to the Director of Agronomy and offers flexibility to be based at any of our plant locations or corporate offices within North America.

Requirements

Bachelor’s or Master’s degree in data analytics, statistics, computer science, agriculture, or a related field
Minimum of 3 years of experience delivering advanced analytics solutions in agriculture, supply chain, or a similar operational environment
Proven ability to lead projects that combine business process transformation with advanced analytics
Strong proficiency in Python, R, SQL, and modern BI tools (e.g., Power BI, Tableau)
Experience working with modern data ecosystems, including cloud-based platforms, APIs, and automated pipelines
Knowledge of data governance, data quality standards, and validation practices
Experience applying AI, predictive modeling, or advanced analytics techniques to business problems
Familiarity with precision agriculture data sources (e.g., remote sensing, IoT sensors, field systems)
Strong communication skills with the ability to translate technical insights into actionable business recommendations
Ability to collaborate effectively across teams and influence stakeholders at multiple levels
Willingness to travel up to 25% as required

Responsibilities

Lead the development and execution of a robust agronomy and sustainability analytics strategy
Design and deliver analytics that inform agronomic decisions, grower practices, and internal business planning
Standardize and enhance data collection, management, validation, and governance processes
Build and maintain scalable data pipelines and modern data environments (e.g., cloud platforms, APIs)
Analyze agricultural, supply chain, and operational datasets to uncover actionable insights
Apply predictive, prescriptive, and AI-driven analytics to improve decision-making and efficiency
Integrate multiple data sources, including precision agriculture tools (e.g., remote sensing, field sensors), into cohesive analytical outputs
Develop dashboards and reporting solutions using BI tools such as Power BI or Tableau
Translate complex analytical outputs into clear, practical insights for agronomy, field, and business stakeholders
Collaborate cross-functionally to drive adoption of data tools, analytics, and AI-enabled workflows