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Agronomy & Sustainability Analyst

McCain Foods • United States • Added on Sep 12, 2026
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This role bridges the gap between raw agricultural data and high-impact environmental outcomes across North America. You will own the analytical strategy for McCain’s agronomy department, managing complex data pipelines that track the performance of over 300 potato growers. By standardizing how data is collected and validated, you will ensure that field-level insights effectively drive decisions on yield, quality, and operational efficiency.

Working at the intersection of agriculture and technology, you will be instrumental in scaling regenerative agriculture practices and reducing the carbon footprint of the supply chain. This is not just about reporting; it is about leveraging predictive modeling and AI to help farmers transition toward more planet-friendly food production. Your work directly supports McCain’s global commitment to soil health and climate resilience.

This suits someone who possesses a strong technical foundation in SQL and Python but remains deeply curious about the real-world application of precision agriculture. You should be an analytical translator capable of turning complex datasets into practical guidance for field teams and business leaders.

Job FAQs

What are the main missions and responsibilities of this role?

The core mission involves leading the development of a robust agronomy and sustainability analytics strategy. You will design and deliver analytical frameworks that inform day-to-day agricultural decisions and long-term business planning, ensuring data is not just collected but utilized effectively. Key responsibilities include building scalable data pipelines within cloud environments and integrating precision agriculture tools such as remote sensing and field sensors. You are also tasked with standardizing data governance and validation processes to maintain high data quality across a vast network of hundreds of growers.

Key learning opportunities for this job

You will gain deep exposure to precision agriculture technologies, including IoT sensors and remote sensing APIs. This role provides a unique opportunity to apply advanced AI and predictive modeling to tangible climate and soil health challenges, moving beyond theoretical data science. Additionally, you will develop a sophisticated understanding of global food supply chains and regenerative farming frameworks. Working within a major multinational, you will learn how to scale digital transformation initiatives across diverse geographic regions and varying levels of technological adoption among stakeholders.

How does the ideal candidate look like (experience, skills)?

The ideal candidate brings at least three years of experience in advanced analytics, specifically within agriculture, supply chain, or heavy operations. Proficiency in technical tools like Python, R, and SQL is essential, as is experience with modern BI platforms like Power BI or Tableau for dashboarding. Beyond technical skills, the candidate should have a foundational understanding of agronomy or statistics. Strong communication skills are vital, as you must be able to influence stakeholders at various levels and translate 'data speak' into actionable field extension strategies for growers.

Advice to stand out and make a successful application

Focus your application on specific examples where you have transformed raw data into operational changes. Since McCain is heavily invested in regenerative agriculture, highlighting any experience with carbon accounting, soil health metrics, or precision farming tools will significantly distinguish your profile. Demonstrate your ability to work with unstructured or complex datasets. Mentioning your approach to data governance and quality will show that you understand the challenges of managing field-level information across multiple jurisdictions and grower networks.

What aspects of the company's sustainability is this role likely to focus on?

This role is central to McCain's commitment to 100% regenerative agriculture across its potato acreage. You will focus on measuring and driving carbon reduction targets and soil health improvements through data-backed insights. By analyzing fertilizer use, water management, and yield data, you will help the company meet its planet-friendly food goals. Your insights will be used to track progress against global ESG benchmarks and support growers in adopting more sustainable, climate-resilient farming techniques.

What are the main challenges someone in this role might face?

One significant challenge will be standardizing data collection across 300+ diverse growers who may use different systems or have varying levels of digital literacy. Ensuring consistent data quality is a major hurdle in agricultural environments where environmental variables are constantly shifting. Another challenge is the integration of disparate data sources, from satellite imagery to manual field reports. You will need to build cohesive models that remain accurate despite the noise inherent in biological and environmental datasets.

How could a typical day look like for someone in this position?

A typical day might involve a morning session focused on cleaning and validating new field data arriving through APIs or cloud pipelines. You could then shift to building or refining a predictive model aimed at optimizing crop storage or reducing input waste. Afternoons are often spent in cross-functional meetings with agronomists or field teams to discuss how analytical outputs are being used on the ground. You might also dedicate time to developing visual dashboards that help leadership visualize progress toward carbon reduction targets.

What are the opportunities for professional growth and development in this role?

There are significant paths for growth into senior leadership roles within Agronomy, Sustainability, or Digital Transformation teams. As McCain continues to expand its AI capabilities, high performers could lead global data strategy or specialized climate-tech divisions. Exposure to the executive Director of Agronomy and regional business planners provides high visibility. Success in this role could lead to lateral moves into global supply chain management or corporate ESG strategy, given the central importance of agricultural data to the company's future.

The main stakeholders you might be interacting with

You will interact daily with the North American Agronomy & Sustainability Team, providing them with the tools they need to support growers. You also report directly to the Director of Agronomy, ensuring analytical alignment with high-level business goals. External stakeholders include the network of 300+ potato growers and precision agriculture technology vendors. Internally, you will also collaborate with IT and data engineering teams to maintain the infrastructure required for your analytical outputs.

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