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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end development and maintenance of Power BI dashboards and semantic models for supply chain KPIs, ensuring high data quality and operational reliability.
Build and sustain Python and SQL-based ETL pipelines integrating data from SAP, Oracle, and supply chain data marts into analytics-ready models.
Collaborate cross-functionally with BPM, MDM, IT, and supply chain teams to embed analytics into business operations and support AI/ML initiatives.
Minimum Requirements
Bachelor's degree in Data Analytics, Computer Science, Engineering, Supply Chain, or related field.
Minimum 8 years of experience in business intelligence, data analytics, or data engineering roles.
Strong expertise in Power BI (data modeling, DAX, performance optimization), Python, SQL, and data integration from ERP systems (SAP, Oracle).
Solid understanding of supply chain processes and metrics.
Ideal Candidate Profile
Experienced in global supply chain or manufacturing analytics environments with focus on scalable, governed reporting solutions.
Operates as a technical and business liaison, capable of translating complex business needs into actionable data models and reports.
Proficient in managing, optimizing, and troubleshooting enterprise-level data pipelines and analytical workflows within cross-functional teams.