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Data Analyst at Syngenta

posted 3 days ago
Job Overview
Employment FullTime
Location Nairobi Kenya
Experience At least 2 years
Education Level Bachelor's Degree
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Company Description

Syngenta is a Global Agribusiness Company with its headquarters in Basel, Switzerland. We are a market leader in the breeding and production of Seeds and Cuttings for high-quality pot and bedding plants. In Kenya, we have two production Sites; Kenya Cuttings Limited based in Thika, and Pollen Limited based in Ruiru. 

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


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