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Tier-1 brand, metro location, mid-level generalist analytics role produces high applicant competition.
Core data skills transfer, but supply-chain and inventory domain knowledge creates moderate industry specificity.
Explicit 4–7 years plus mandatory SQL/Databricks and supply-chain expertise enforces high filtering.
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Analyze and report on inventory, demand, and supply chain data to identify risks and improve component availability.
Develop and maintain SQL queries, reports, and dashboards to monitor inventory health and operational KPIs using Databricks and large datasets.
Support supply chain processes and optimization through data validation, root cause analysis, forecasting, and stakeholder collaboration to improve inventory turnover and customer fulfillment.
4 to 7 years of relevant work experience.
Strong proficiency in SQL and Databricks for data extraction, transformation, and reporting.
Strong understanding of supply chain, inventory, planning, and fulfillment data sets.
Experience with data visualization tools like Power BI or Tableau preferred but not mandatory.
Experienced in applying critical thinking, root cause analysis, and structured problem-solving to supply chain data.
Comfortable working independently in ambiguous environments using data and business judgment for decision-making.
Skilled at collaborating with cross-functional teams such as Procurement, Planning, and Operations to resolve supply constraints and improve processes.