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Tier-1 brand, metro location, mid-level generalist title, and broad skill requirements raise competition.
Core data analytics skills transferable, but supply-chain domain preference raises fit sensitivity to medium.
Explicit 5+ years requirement plus mandatory Python/R/SQL and visualization skills imply moderate filtering.
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Drive data-driven insights and analytics to optimize operational efficiency and improve decision-making within the Integrated Supply Chain (ISC) organization.
Collaborate with cross-functional teams and leadership to develop analytical solutions for business challenges and implement data analytics strategies for continuous improvement.
Ensure data integrity and accuracy, provide coaching to ISC analytics team members, and influence decision making to optimize processes, reduce costs, and improve customer satisfaction.
5+ years of experience in data analytics.
Proficiency in data analytics tools and programming languages such as Python, R, SQL.
Experience with data visualization tools like Tableau or Power BI.
Not explicitly mentioned: specific degree requirements, notice period, or location constraints.
Experienced in supply chain analytics or a related field, indicating domain knowledge relevant to ISC.
Demonstrated leadership ability through coaching and influencing others in analytics teams.
Skilled in advanced analytics techniques (machine learning, predictive modeling) and data governance initiatives, showing capability to manage data quality and apply complex methods.