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Popular data analyst role, metro hiring, broad skills needed, and notable employer increases competition.
Skills are transferable across industries but supply-chain forecasting increases domain specificity.
No explicit years but varied technical and domain skills create moderate selection filters.
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Analyze large and complex supply chain datasets to extract actionable insights and identify trends affecting performance metrics.
Develop and implement statistical forecasting models, define forecast KPIs, track forecast accuracy, and recommend improvements.
Collaborate with cross-functional teams and communicate demand forecast insights and recommendations to key stakeholders clearly and concisely.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Experience with data analysis, statistical modeling, and demand forecasting in supply chain or relevant domains: Not explicitly mentioned in the JD.
Proficiency in tools or certifications related to data management and analytics (e.g., Databricks, IBM DataStage, Oracle): implied by listed certifications but not strictly mandated.
English proficiency at upper intermediate level (B2).
Experienced in analyzing inventory, production speed, and product demand to inform supply chain production decisions.
Skilled in developing statistical forecasting models and monitoring forecast-vs-actual performance to improve accuracy.
Comfortable working with cross-functional teams and presenting complex data insights to diverse business stakeholders.