Data Analyst

• 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

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. 

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

Critical skills:

• Strong attention to detail and commitment to data accuracy
• Strong communication skills and stakeholder management skills
• Analytical Mindset & Proactive Attitude
• Stress resilience and the ability to manage change/ambiguity.
• Eager to learn and able to understand the complexity of the Flowers business
• Ability to analyse complex production data and understand the critical levers that lead to improved production performance
• Experience with ERP systems: Familiarity with SAP, Oracle, or similar systems is a plus.

Critical leadership capabilities:

• Forward-thinking mindset and ability to generate multiple options to solve problems
• Results orientated
• Ability to operate within a matrix organization
• Maintaining high standards amongst diverse priorities
• Ability to work effectively within multi-disciplinary teams