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Large global brand, popular data role title, and Bengaluru metro amplify applicant competition.
Requires supply chain domain expertise and enterprise data platform experience, limiting cross-industry transferability.
Explicit 8+ years, required SQL/Python, enterprise platform experience, and supply chain domain knowledge increase filtering strictness.
Lead analytics and digital transformation initiatives for Global Trade Management and Logistics Operations to improve compliance, visibility, and operational efficiency.
Partner with business stakeholders to identify and deliver process optimization, automation, and AI adoption opportunities.
Develop and implement advanced analytics, machine learning, and automation solutions, while providing technical leadership and mentorship to analytics teams.
Bachelor’s degree in Engineering, Computer Science, Data Science, Analytics, or related field.
8+ years of experience in Data Science, Analytics, Digital Transformation, or IT.
Strong proficiency in SQL, Python, and data analytics methodologies.
Functional knowledge of Supply Chain, Logistics, Transportation, Trade Compliance, or Global Trade Operations.
Experienced in bridging supply chain/trade operations with technology and advanced analytics to drive business transformation.
Skilled in translating complex business challenges into measurable analytics outcomes and actionable insights.
Proven technical leadership in developing scalable automation and AI solutions within enterprise data environments (e.g., Oracle, Snowflake, SAS, Databricks).