Data Analyst

1. Data Collection & Management:
   

   • Gather and organize data from various sources such as sales, market research, consumer feedback, and social media.
     
   • Ensure the data collected is accurate, reliable, and relevant to business needs.
     

2. Data Analysis & Reporting:
   

   • Analyse large datasets to identify trends, patterns, and insights that support decision-making in areas like product development, marketing strategies, and sales performance.
     
   • Create and maintain dashboards, reports, and visualisations to communicate key insights effectively to stakeholders.
     

3. Sales and Market Trend Analysis:
   

   • Monitor sales data to identify growth opportunities, track product performance, and highlight areas of concern.
     
   • Provide regular analysis of market trends, competitor activities, and consumer preferences to support strategic decisions.
     

4. Forecasting & Predictive Analytics:
   

   • Assist in demand forecasting and inventory planning using historical sales data and advanced analytics.
     
   • Use predictive models to identify future trends and opportunities, contributing to proactive business planning.
     

5. Collaboration with Cross-Functional Teams:
   

   • Work closely with marketing, sales, and supply chain teams to understand business needs and provide actionable insights.
     
   • Support the development and execution of business strategies by providing data-driven recommendations.
     

6. Process Improvement:
   

   • Identify opportunities for process optimization within the data collection, analysis, and reporting workflows.
     
   • Ensure efficient data handling and reporting processes to reduce manual effort and improve accuracy.
     

Requirements

• Education: Bachelor’s degree in Data Science, Statistics, Business Analytics, Economics, or related field.
  
• Experience: 2-4 years of experience in data analysis, preferably in FMCG or retail industries.
  
• Strong proficiency in data analysis tools (Excel, SQL, Python, R, etc.).
  
• Experience with data visualisation tools (Power BI, Tableau, etc.).
  
• Solid understanding of FMCG industry trends and consumer behaviour analysis.
  
• Strong analytical thinking and problem-solving skills.
  
• Ability to present complex data insights in a clear, concise manner to stakeholders.
  
• Experience with forecasting and demand planning is a plus.
  
• Excellent verbal and written communication skills to present findings to non-technical stakeholders.