Syngenta Group is one of the world’s leading sustainable agriculture innovation companies, with roots going back more than 250 years. Our 53,000 people across 100+ countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world’s most local agricultural technology and innovation partner.

Syngenta Group is committed to operating at the highest standards of ethics and integrity. This  is a commitment that we are making to investors, customers, society and employees. Additionally, we are also committed to maintaining a workplace environment free from discrimination and harassment.

• Develop and maintain technical proficiency in SQL, MS Excel, Smartsheet, data visualisation tools, and data cleaning methodologies to support analytical requirements.
• Analyse and understand the business context, data flow throughout the production process, and interactions with external partners including R&D departments.
• Provide analytical support on ad hoc issues and challenges, delivering timely insights to support decision-making.
• Prepare, compile, and present comprehensive update reports to management, ensuring clarity and actionable recommendations.
• Demonstrate a continuous improvement mindset and actively participate in and support organisational initiatives and process optimisation projects.
• Collaborate with stakeholders across departments to gather requirements, understand business needs, and translate them into analytical solutions.
• Ensure data quality and integrity through validation, verification, and documentation of data sources and analytical processes.
• Provide training and support to end-users on data tools, dashboards, and analytical outputs to promote effective utilisation.
• Always ensure compliance with phytosanitary and hygiene protocols within the site.
• Perform all tasks in compliance with and in support of all HSE policies and practices.
• Undertake any additional tasks and projects as allocated by your line manager.

• Undergraduate degree or diploma in Statistics, Mathematics, computer Sciences, Data Analyst or related field.
• Highly skilled/advanced in Microsoft Office (especially Excel and PowerPoint), Power BI, SQL or Dax language, SAP and Smartsheet.

• Ability to work under pressure.
• Integrity and Intellectual honesty.
• Good communication and interpersonal skills
• Ability to interact with diverse stakeholders.