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Brand name, generalist data role, metro location, and broad skillset requirements increase applicant competition.
Core analytics skills transfer across industries but supply-chain domain knowledge increases fit sensitivity.
Explicit 1–3 years requirement plus mandatory SQL, Python/R, and visualization skills.
Analyze, cleanse, integrate, and standardize data from multiple internal and external supply chain systems to support PVH Supply leadership decisions.
Create automated reports and dashboards using SQL, Python/R, and visualization tools to present quantitative insights clearly to leadership.
Manage day-to-day and ad-hoc data analysis requests independently, collaborating with internal and external stakeholders including US SDA, Vendor Management, and Brands.
1 to 3 years of relevant experience in data analysis.
Bachelor’s degree in Engineering, Science, or similar quantitative field; Master’s degree is a plus.
Strong skills in SQL querying, data cleansing, statistical analysis, and data visualization tools like Tableau or PowerBI.
Proficiency in open-source programming languages for data analysis such as R or Python and advanced MS Excel skills (pivot tables, lookup formulas).
Experienced in working with complex, incomplete, or inconsistent supply chain data and able to translate it into actionable business insights.
Independent operator comfortable managing multiple projects and collaborating across global teams and functions.
Skilled in automating data workflows and adept at statistical modeling to support informed supply chain decisions.