Supply Chain Data Analyst LATAM at Syngenta Group

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Excel, Power BI, Qliksense, ERP Systems, SAP, Analytical Skills, Communication Skills, Presentation Skills, Stakeholder Management, Attention to Detail, Learning Mindset

Industry

Farming

Description

Company Description About Syngenta Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X. 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 Supply Chain Management team is seeking a Supply Chain Data Analyst LATAM in Montevideo, Uruguay. Accountabilities Lead continuous improvement initiatives in planning processes. Design, develop, and maintain comprehensive reports and dashboards. Create and monitor KPIs across various P&S teams. Generate regular performance reports and ad-hoc analysis. Identify opportunities for process improvement and optimization. Create and document data processes and procedures. Ensure data accuracy, consistency, and quality. Collaborate with stakeholders to define data requirements. Plan AI or Bulk Products. Qualifications Required Business, Administration, Engineering, Business Analytics or related field. 2+ years of experience in Data & Analytics at data driven companies. Strong analytical skills. Excellence in Excel and data analysis tools (Power BI; Qliksense). Knowledge ERP systems (SAP preferred). Strong communication and presentation skills. Fluent in English (additional regional languages a plus). Learning Mindset: understand the problems and ask the correct questions identifying opportunities to improve. Stakeholder management skills. Attention to detail and accuracy. Additional Information What We Offer A culture that celebrates diversity & inclusion, 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. Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Important: 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. Beyond just believing in the power of diversity, Syngenta Group promotes an inclusive culture that includes differences in all its forms. We believe that the feeling of belonging allows people to become their best version, building an increasingly welcoming and productive environment. All qualified candidates will be considered for our positions, without distinction of race, gender, age, nationality or disability *This position will not provide relocation support. *This position will require immediate availability. Be part of a leading company that brings the potential of plants to life. #LI-Hybrid

Responsibilities

Lead continuous improvement initiatives in planning processes and design, develop, and maintain comprehensive reports and dashboards. Collaborate with stakeholders to define data requirements and ensure data accuracy, consistency, and quality.