Lead Assistant Manager

Role Summary

Key Responsibilities

• Analyze large datasets using SQL and Python to derive actionable insights.
• Develop and deploy machine learning models for forecasting and predictive analytics.
• Work on structured and unstructured data to identify patterns and trends.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Create dashboards, reports, and visualizations to communicate findings.
• Ensure data accuracy, consistency, and integrity throughout the analysis process.
• Leverage cloud platforms such as Azure (preferred) for data handling and model deployment.
  

Required Skills

• Strong proficiency in Python for data manipulation and model development.
• Advanced SQL skills for querying complex data structures.
• Solid understanding of machine learning algorithms, time series forecasting, and predictive modeling.
• Good problem-solving ability and a strong analytical mindset.
  

Good To Have

• Exposure to Azure cloud services such as Azure Data Factory, Azure ML, or Azure Blob Storage.
• Familiarity with Power BI, Tableau, or similar BI tools.