About the Job (Job Responsibilities):
Collaborate with internal stakeholders (Supply Chain, Sales, Planning, Customer Service, etc.) to translate objectives into analytical models and dashboards for global and cross-functional use.
Develop and maintain Power BI reports, data models, and statistical analyses on business performance (including KPIs).
Monitor and ensure data accuracy, reliability, and consistency across certified/centralized Power BI reports.
Provide actionable insights to enhance business performance and operational efficiency.
Drive standardization and continuous improvement of certified reporting, dashboards, and related metrics.
Design, develop, test, and maintain data models that provide relevant insights through exploratory analysis and predictive analytics.
Support end users with Power BI-related issues, including training, troubleshooting, and guidance.
Identify recent data sources and evaluate emerging technologies for advanced analytics and data discovery.
Work across multiple domains—Supply Chain, Commercial, and Finance—to strengthen cross-functional understanding.
Contribute to innovation by implementing advanced tools such as Python, Machine Learning (ML), and Natural Language Processing (NLP) to enhance analytics capabilities.




Improve Power BI landscape and related systems including Fabric, Tenant maintenance, Power Platform utilization, Analytics, CoPilot, and PPT integration.

Qualifications and Experience:
Bachelor's or Master's degree in Supply Chain Management, Business Administration, or a related field.
Minimum 3 years of experience in Power BI modeling, dashboard design, and analytics.
Proven expertise in DAX, and integration with HANA, Azure, or SQL.
Experience handling data from SAP and/or BW systems.
Robust analytical, data modeling, and visualization skills.
Comprehensive understanding of supply chain processes including Planning, Logistics, Warehousing, Inventory, Freight, and Export/Import operations.
Experience in integrated supply chain reporting (Logistics, Planning, Order Management, Customer Service, etc.).
Ability to identify business problems, detect patterns in large datasets, and recommend effective solutions.
Robust communication and collaboration skills across functions and organizational levels.
Exposure or interest in statistical modeling, data science, and machine learning techniques preferred.
Based in Mumbai, India.

📌 Logistics Specialist Mumbai
🏢 Nouryon
📍 Mumbai