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Tier-1 brand, metro location, generalist data title, and broad skillset increase applicant competition.
Supply-chain domain knowledge required but core data skills (SQL, Python, BI) remain transferable.
Explicit seven-year minimum plus mandatory SQL, BI, Python, and domain experience raises shortlisting rigidity.
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Independently analyze complex supply chain datasets and create impactful dashboards to support data-driven decision-making.
Extract, clean, validate data using SQL and AI-assisted workflows; build and maintain scalable data models and improve data quality and governance.
Collaborate with cross-functional teams to translate business needs into data solutions; present insights and recommendations to stakeholders.
Bachelor’s degree or higher, verified prior to start.
Minimum 7 years overall experience; at least 3 years in data extraction, analysis, and statistical techniques.
At least 3 years experience with SQL and data visualization tools (Power BI, Tableau).
Working knowledge of Python and demonstrated ability to leverage AI development tools (e.g., LLMs, coding copilots).
Experienced in advanced SQL querying and data modeling, preferably with performance tuning in Snowflake environments.
Able to use AI tools to accelerate coding and complex data analysis in supply chain contexts.
Skilled in collaborating with diverse teams and translating business requirements into analytic data solutions.