Senior Supply Chain Data Scientist

Overview

Enable Global Supply Chain decision-making by delivering business intelligence, data engineering, and applied analytics solutions. Focus on Power BI reporting, data modeling, ETL pipelines, and Python-based analytics, with selective predictive analytics where it provides tangible business value.

What you'll do

• Design, develop, and maintain Power BI dashboards, reports, and semantic models for supply chain KPIs including OTD, inventory, shortages, supplier performance, and planning metrics.
• Ensure reporting is accurate, governed, and aligned with enterprise analytics standards.
• Translate business questions into clear, actionable visual insights.
• Build and maintain data models and ETL pipelines using Python, SQL, and enterprise data platforms.
• Integrate and harmonize data from SAP, Oracle, supply chain data marts, and analytics platforms.
• Ensure data quality, lineage, and documentation in partnership with MDM and IT teams.
• Deliver descriptive and diagnostic analytics, with selective predictive use cases such as trend analysis, lead-time insights, and planning support.
• Support AI/ML initiatives by enabling clean data, validating results, and embedding insights into operational reporting.
• Act as a bridge between business users and IT to ensure analytics solutions are technically sound and business-relevant.
• Partner with supply chain teams to prioritize analytics demand and deliver incremental, high-impact solutions.
• Monitor dashboard reliability, data refresh cycles, and pipeline performance.
• Contribute to reusable datasets, analytics standards, and continuous improvement of DSC analytics capabilities.
• Review Power BI dashboard refreshes, check data quality, and address overnight data or pipeline issues.
• Meet with planning, procurement, and operations stakeholders to clarify reporting needs, KPI definitions, and analytics requests.
• Collaborate with MDM and BPM teams to validate master data, align definitions, and ensure process-consistent reporting.
• Document data logic, models, and metrics, and occasionally train or support business users to improve analytics adoption.
• Coordinate with IT or digital teams on dependencies and delivery timelines.

What you'll need

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Supply Chain, or a related field.
• 8+ years of experience in business intelligence, data analytics, or data engineering roles.
• Strong proficiency in Power BI, including data modeling, DAX, and performance optimization.
• Hands-on experience with data modeling, ETL processes, SQL, and Python.
• Experience working with ERP data, including SAP and Oracle, and enterprise data platforms.
• Solid understanding of supply chain processes and metrics.
• Ability to translate business needs into scalable analytics solutions.
• Strong attention to data accuracy, consistency, and usability.
• Ability to work effectively with global, cross-functional teams.
• Clear communication skills for explaining insights to non-technical audiences.

Nice to have

• Experience in global manufacturing or supply chain environments.
• Familiarity with cloud data platforms including Azure, AWS, Fabric, and Databricks.
• Exposure to AI/ML concepts and analytics enablement for AI-driven initiatives.
• Experience with data governance, master data, or process analytics.
• Agile or project-based delivery experience.

Details

• Location: Bangalore, India.