Senior Business Analyst IV – Agriculture

Autonomous Solutions, Inc; Clewiston (FL); Hybrid; USD 85,000 - 130,000; Full time

Job summary

Autonomous Solutions, Inc. (ASI) seeks a Senior Business Analyst – Agriculture to serve as the embedded analytics lead for a strategic agricultural client.

You will work on-site and in a hybrid capacity, turning data from ASI's autonomy platform and the client’s farm management systems into actionable decisions that improve efficiency and system performance. The role blends business and technical analysis, requiring the ability to surface what the operation needs, integrate disparate data, and

Qualifications

• Ability to work on-site with customer leadership and teams.
• Ability to identify data sources across multiple systems and reconcile data.
• Strong analytical judgment to translate data into actionable business decisions.
• Experience building business cases and value narratives for customers.

Responsibilities

• Partner with the customer as ASI's on-the-ground analytics lead, embedded in operations.
• Identify data access, integration points, and data quality across ASI and customer systems.
• Analyze machine, fleet, and operational data to quantify performance and impact.
• Translate insights into recommendations that influence engineering and business decisions.

Job description

Description

The Senior Business Analyst – Agriculture is ASI's 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 ASI's autonomy platform and the customer's 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, it's 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 customer's own data analysts.
  • Act as ASI's 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 ASI's 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.