Global Size Data Analyst – Data Pillar

Role Overview

The Global Size Data Analyst drives size productivity and inventory optimization through impactful analytics, dashboards, and reporting that enhance size signal accuracy and grid performance.

What You Will Do

Develop and maintain dashboards and reports that track size curve accuracy, grid productivity, and inventory performance. Produce analysis that drives meaningful business discussions and supports both pre-season planning and in-season decision-making.

Why It Might Be a Fit

The Analyst serves as a key partner to AI/ML initiatives — validating machine learning size profiles, supporting model development, and ensuring data quality standards that enable scalable, high-quality sizing products across the business.

Requirements

• Bachelor’s degree in Business, Economics, Data Science, Statistics, or a related analytical field
• Minimum 3 years experience in data analytics, merchandising, demand planning, inventory management, or a comparable analytical role
• Prior exposure to ML or data science workflows is a plus
• Required proficiency with SQL or Python for data querying and analysis
• High proficiency in Excel and data visualization tools (e.g. Looker Studio, Power BI, Tableau) and data processing platforms (e.g., BigQuery, Looker)
• Experience with or the ability to quickly learn enterprise systems including PLM, SAP, SGMT, and SizePro
• Strong attention to detail with a high degree of ownership
• Ability to synthesize quantitative data from multiple sources into coherent, business-relevant conclusions
• Excellent written and verbal communication skills
• Proven ability to work cross-functionally and build strong relationships with diverse partners across global teams

Benefits

• Complimentary preventive health check-up for you & your spouse
• OPD coverage
• Best in class leave plan including paternity & family care leaves
• Counselling sessions to prioritize mental well-being
• Exclusive discount vouchers on Levi’s products

Tagged as: Data Analysis