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Metro location and common data skills with a known multinational create moderate competition.
Supply-chain domain knowledge required reduces transferability, though core analytics skills remain broadly applicable.
Explicit 7-year requirement plus mandatory SQL, BI, Python and domain experience enforces strict shortlisting.
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Extract, clean, validate, and analyze complex supply chain data sets using SQL and AI-assisted workflows to support enterprise supply chain decision-making.
Build and maintain scalable data models and dashboards, improving data quality, governance, and process automation.
Collaborate with cross-functional teams to translate business requirements into data solutions and present insights to stakeholders.
Bachelor’s degree or higher (completed and verified prior to start).
7 years overall work experience; minimum 3 years in data extraction, analysis, and statistical techniques.
At least 3 years of experience in SQL and data visualization tools (Power BI, Tableau etc).
Working knowledge of Python and strong ability to leverage AI development tools for coding and data analysis.
Experienced in handling complex SQL queries and data modeling within relational databases, preferably with Snowflake.
Skilled in using AI tools and Python scripting to accelerate data processing and analysis.
Able to convert business requirements into technical data solutions and communicate insights effectively to cross-functional teams.