Data Analyst

Company Details
Name:Syngenta
Industry: Food Production
Description: Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 28,000 people in over 90 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. To learn more visit www.syngenta.com and www.goodgrowthplan.com.
Job Description
  • 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
Education: Degree, Diploma
Employment Type: Full Time

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