Syngenta is a leading science-based agtech company. We help millions of farmers around the world to grow safe and nutritious food, while taking care of the planet.
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Ensure effective and efficient data collection, analysis, and interpretation of large datasets to help drive strategic decision-making across the organisation
Develop and maintain dashboards, reports, and other visualisations from complex data models
Perform statistical analysis and create models to support business decisions
Collaborate with other teams to integrate data from different sources
Support with improvement and modelling of the Current Power BI reports
Build and utilise advanced data models to forecast future production situations; Identify, analyse, and interpret trends or patterns in complex production data sets
Support bottom-up Production material planning and forecasting processes in liaison with other departments
Assist in the development of production material consumption, planning and forecasts, ensuring accuracy and consistency
Identify and implement process improvements
Streamline Data, KPI and Production material planning processes and workflows using technology and best practices
Stay up to date with industry trends and best practices
Continuously learn and apply new tools and techniques to enhance data2infor capabilities
Qualifications
Critical knowledge:
Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Analysis or related field
Highly skilled/advanced in Microsoft Office (especially Excel and PowerPoint), Power BI, SQL or Dax language, SAP and SAC
Critical experience:
3+ years hands-on advanced analytics/visualisation development experience in Power BI (preferred), Qlik or other reporting tools
2+ years of experience with Python, SQL, or other transformation tools for data analysis, preparation, and modelling, including experience with large and unstructured data sets
Experience of working and interacting across multiple locations and cultures
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