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Senior Business Analyst IV – Agriculture


Job Location:

Clewiston, FL - USA

Yearly Salary: USD 140480 - 185566
Posted: 4 September 2026 (17 hours ago)
Application Deadline: 2 December 2026
Vacancies: 1 Vacancy

Job Summary

The Senior Business Analyst Agriculture is ASIs embedded data and business analysis lead for one of our most strategic agricultural customers. This person sits with the customer works shoulder to shoulder with their operations agronomy and analytics people and turns the data coming off ASIs autonomy platform and the customers farm management systems into decisions that make the operation more efficient and our autonomous system measurably better.

This is a hybrid business and technical role meaning that the work is not building data pipelines its understanding an agricultural operation well enough to know which questions matter pulling together data from systems that were never designed to talk to each other and assembling the full story - what changed what it was worth and what we should do next.

Technical ability is required to get at the data and to specify what should eventually be automated but the value of this role is in the analysis the judgment and the ability to influence engineering and business decisions on both sides of the customer relationship.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Customer Partnership & Embedded Analysis
    • Work on site with the customer on a regular cadence building trusted working relationships with operations leadership agronomy equipment and maintenance teams and the customers own data analysts.
    • Act as ASIs on-the-ground analytical partner - surfacing what the operation actually needs not what we assume it needs.
    • Bring field and operational learnings back into ASI so product engineering and business teams are working from ground truth.
    • Present findings and recommendations to customer leadership and ASI leadership in clear decision-ready terms.
  • Data Access & Integration
    • Identify what data exists across ASI systems and customer systems where it lives who owns it and how it can be accessed - whether by API scheduled cloud export or manual pull.
    • Coordinate and secure data access with customer stakeholders and third-party platform providers.
    • Combine ASI autonomy and vehicle data with customer-side sources such as farm management platforms (e.g. John Deere Operations Center) agronomic and yield records equipment maintenance history and production data.
    • Reconcile and validate data across systems so the numbers hold up to scrutiny and document sources definitions and known gaps.
  • Operational & Performance Analysis
    • Analyze machine and fleet performance - utilization acres covered hours operated downtime intervention rates operating patterns and efficiency trends.
    • Connect changes in the autonomous system to measurable operational outcomes so ASI can tell the difference between improvements that matter and ones that do not.
    • Identify trends and anomalies worth acting on form hypotheses and follow them through to a recommendation.
    • Explore higher-order questions as data maturity allows such as the relationship between operating patterns and component wear or between agronomic inputs and output efficiency.
  • Business Value & TCO Modeling
    • Partner with ASI business development product and finance teams to build and refine Total Cost of Ownership models for agricultural deployments.
    • Quantify labor impact productivity gains cost per acre uptime value and other drivers of customer value.
    • Translate analysis into business cases and value narratives that support customer expansion and market-facing decisions.
  • Reporting & Enablement
    • Build and maintain the recurring reporting and dashboards that ASI and the customer rely on partnering with ASIs data platform team on standards and data sources.
    • Prioritize ruthlessly - pick the highest-value question answer it well demonstrate the impact then move to the next one.
    • Identify manual analysis that has proven its value and should be automated and specify it clearly for the data platform team to productize.
    • Use modern analytical and AI tooling to move faster and share what works with the broader team.

At Autonomous Solutions Inc. (ASI) we are committed to fostering a diverse inclusive and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race color religion sex national origin age disability genetic information veteran status sexual orientation gender identity or any other legally protected characteristic. ASI complies with all applicable federal state and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.


Required Experience:

Senior IC


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