1. Job Purpose
Transform enterprise and manufacturing data into actionable insights that improve operational efficiency, business performance, and strategic decision-making. Lead the development of KPI frameworks, intelligent dashboards, and AI-powered analytics solutions.
2. Key Responsibilities
Enterprise KPI Framework
• Design and maintain KPI frameworks across Production, Supply Chain, Procurement, Finance, HR, Maintenance, and Quality.
• Ensure KPI definitions are standardized and aligned across departments.
Dashboard & Reporting
• Develop executive dashboards and self-service reporting solutions.
• Build interactive dashboards for factory management, department heads, and executive leadership.
• Automate operational, tactical, and strategic reporting processes.
Manufacturing Analytics
• Analyze OEE, Yield, Scrap, Downtime, Throughput, Production Efficiency, and Energy Consumption.
• Identify root causes of operational issues and recommend improvement actions.
• Provide data-driven recommendations to improve productivity and profitability.
AI-Powered Analytics
• Develop predictive and prescriptive analytics solutions.
• Implement anomaly detection, forecasting, trend analysis, and root cause analysis models.
• Enable natural language analytics and AI-driven insight generation.
Business Partnership
• Work directly with department managers and executives to translate business challenges into analytical solutions.
• Act as a trusted advisor for data-driven decision-making.
Mandatory
• Minimum 5 years of experience in BI, Analytics, or Data Analysis.
• Advanced SQL skills.
• Expert-level proficiency in Power BI or Tableau.
• Strong experience with DAX and data modeling.
• Ability to communicate analytical findings to
business leaders.
Preferred
• Python programming skills.
• Experience with SAP, ERP, and manufacturing environments.
• Understanding of production planning, costing, inventory, and supply chain processes.