Information Analyst

Academic Qualifications

• Bachelor’s degree in a business-related field, Data Science or Maths and Statistics.
  

Professional Qualifications

• Project Management
  
• Business Intelligence (BI)
  
• Python Programming
  

Experience

• At least three (3) years’ experience in business analytics within FMCG or a Marketing Agency with focus on consumer products environment.
  

Data and Insights

• Collect data from various internal and external sources to ensure a comprehensive data set for analysis.
  
• Process and clean the data to remove any inconsistencies or errors, ensuring high-quality data for analysis.
  
• Combine data from different sources and systems to create a unified view of the information.
  
• Use statistical and analytical methods to explore the data and identify patterns, trends, and relationships.
  
• Translate data analysis results into actionable insights that can inform business decisions.
  
• Create excel or BI based visualisations such as charts, graphs, and dashboards to represent data insights clearly and effectively.
  
• Develop and deliver reports that summarise insights for stakeholders.
  
• Present insights to stakeholders in a clear and concise manner, highlighting the implications for the business.
  

Reporting

• Design and create reports that meet the needs of various stakeholders, ensuring they are clear, concise, and informative.
  
• Gather and compile data from multiple sources to be used in reports.
  
• Implement automated reporting solutions to improve efficiency and reduce manual effort.
  
• Develop standardised report templates to ensure consistency in reporting.
  

Commercial Function Support

• Analyse sales data to identify trends, opportunities, and areas for improvement.
  
• Conduct market research to understand customer needs, market conditions, and competitive landscape.
  
• Support pricing strategies by providing analysis on pricing trends, compliance and elasticity.
  
• Generate insights into customer behaviour and preferences to inform commercial strategies.
  
• Analyse product performance to support product development and lifecycle management.
  
• Analyse the performance of different sales channels and provide recommendations for optimization.
  
• Work closely with sales, marketing, and product teams to provide data support and insights.
  
• Contribute to strategic planning by providing analytical support and insights.
  
• Identify and analyse potential risks to the commercial function and recommend mitigation strategies.
  

TPM and Continuous Improvement

• Support the TPM way of working.
  
• Support the implementation of the improvement activities