• Collect, clean, and analyze large datasets from multiple internal and external sources.
  
• Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or similar.
  
• Translate business requirements into technical data queries and analytical models.
  
• Conduct root cause analysis to identify trends, anomalies, and opportunities for optimization.
  
• Partner with product and engineering teams to define KPIs and track performance metrics.
  
• Present findings and recommendations to stakeholders through clear, data-driven narratives.
  
• Automate repetitive reporting tasks to improve efficiency and accuracy.
  
• Stay updated with emerging data analytics trends, tools, and best practices.
  
• Ensure data integrity, security, and compliance with organizational standards.
  

Requirements

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