Senior Data Analyst, Controlled Environments (AgTech)

Syngenta; Nampa (ID); On-site; USD 88,000 - 132,000; Full time

Benefits offered by this job

Flexible work options

Medical, dental, vision benefits

401k with company match

Job summary

Syngenta Seeds Field Crops in Idaho seeks a Senior Data Analyst to transform operational, phenotypic, and inventory data into trusted insights for TI and DH pipelines in a controlled environment. You will design data architecture, integrate diverse sources, and build scalable analytics that support planning, budgeting, workload management, and continuous improvement.

The role emphasizes applying AI tools to identify patterns, generate predictive insights, and drive data-driven decision making

Qualifications

• Master's or PhD in a related field required or preferred; strong data science foundation.
• Experience with data analytics, statistics, and computational biology or related fields preferred.
• Experience modeling biological systems and developing predictive algorithms (AI-based) highly desired.
• Proficiency in data manipulation, integration, analysis, and visualization; ability to summarize results clearly.

Responsibilities

• Design, develop, and maintain data architecture, datasets, dashboards, and recurring reports for TI and DH workflows.
• Define and monitor performance KPIs across execution pipelines; identify improvement opportunities.
• Plan workloads and monitor capacity; analyze greenhouse footprint, labor demand, schedules, and environmental constraints.
• Ensure data quality and end-to-end traceability across digital workflows; translate data into actionable insights.

Skills

Data analytics

Statistics

AI/machine learning experience

Data visualization

Communication

Education

MS/PhD in Data Science or related field

Tools

Python

SQL

Microsoft data tools

Job description

Syngenta Seeds Field Crops in Idaho seeks a Senior Data Analyst to transform operational, phenotypic, and inventory data into trusted insights for TI and DH pipelines in a controlled environment. You will design data architecture, integrate diverse sources, and build scalable analytics that support planning, budgeting, workload management, and continuous improvement.

The role emphasizes applying AI tools to identify patterns, generate predictive insights, and drive data-driven decision making