Pipeline Performance Analyst at Syngenta Group

Bourbonnais, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

163000.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytical Frameworks, KPI Development, Predictive Modeling, Variance Analysis, Data Integrity, Root Cause Analysis, Executive Reporting, Resource Utilization Analysis, Scenario Planning, Data Science, Statistical Analysis, Data Visualization, Plant Breeding Principles, Germplasm Development, Trait Integration, Project Management

Industry

Farming

Description

Company Description About Syngenta At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture. Job Description At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta's Operations & Trialing Team is seeking a Pipeline Analyst in Slater, IA or Malta, IL. This role will serve as a strategic analytical partner to Hub and Trait teams, providing independent insights across R&D that help build a pipeline narrative that can be leveraged across internal stakeholders. The Pipeline Analyst is a global analytical role responsible for comprehensive pipeline performance analysis across all Syngenta Seeds R&D. The ideal candidate will combine strong analytical and agronomy skills with the ability to distill complex data into clear executive summaries and compelling pipeline narratives, supporting breeding program success and driving data-informed action at senior levels while maintaining alignment with industry standards and competitive benchmarks. Accountabilities: Develop and maintain comprehensive analytical frameworks to assess germplasm and trait pipeline performance, such as KPIs, metrics, and predictive models. Monitor pipeline velocity, bottlenecks, and conversion rates across programs, conducting variance analysis between intended vs. actual outcomes. Partner with Digital and breeding program leaders to ensure data integrity, analytical relevance, and integration of industry benchmarks. Serve as an independent checkpoint for pipeline performance, leading root cause analysis of underperformance and unexpected outcomes. Create executive-level reports and presentations synthesizing complex pipeline data into actionable strategic recommendations. Analyze resource utilization efficiency across breeding programs and geographies to optimize allocation. Support scenario planning and strategic decision-making through data-driven insights and recommendations. Collaborate with IT and data science teams to develop and enhance advanced analytical tools and platforms. Qualifications PLEASE NOTE: Candidates must be legally authorized to work in the United States on a permanent basis without requiring current or future sponsorship (which also includes OPT/CPT). Required: Advanced degree in Statistics, Agronomy, Data Science, Agricultural Sciences, or related fields. 5+ years experience in agricultural analytics and/or agronomy. Strong understanding of plant breeding principles, germplasm development, and trait integration. Expertise in statistical analysis, predictive modeling, and data visualization tools (R, Python, Tableau, Power BI). Experience with executive reporting and translating complex data into strategic insights. Experience working in a global, matrix organization. Demonstrated ability to work independently across multiple stakeholder groups. Strong project management and organizational skills. Proven ability to influence decision-making through data-driven insights. Excellent written and verbal communication skills. Desired: Experience with agricultural pipeline management systems and databases. Background in agricultural economics or commercial analytics. Experience with cloud-based analytics platforms and automation tools. Understanding of competitive intelligence and market analysis in agriculture. Additional Information Salary for the role is $114,100 - $163,000 per year. What We Offer: A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. Full Benefit Package (Medical, Dental & Vision) that starts your first day. 401k plan with company match, Profit Sharing & Retirement Savings Contribution. Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. WL: 5B #LI-Hybrid

Responsibilities

This role serves as a strategic analytical partner, developing comprehensive analytical frameworks to assess germplasm and trait pipeline performance across all Syngenta Seeds R&D. The analyst will monitor pipeline velocity, conduct variance analysis, and create executive-level reports synthesizing complex data into actionable strategic recommendations.