Calling all originals: At Levi Strauss & Co. you can be yourself and be part of something bigger. Were a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit and your future.
The Data Management Analyst will play a critical role in strengthening the foundation of Levi Strauss & Co.s global product data ecosystem. This role will focus on data management cleansing and enrichment activities across item setup product hierarchy and master data governance. The analyst will ensure that data is accurate consistent and aligned across global and regional (cluster) systems to enable better decision-making and accelerate key business strategies related to lifecycle management pricing and product architecture.
This is a high-impact role that supports both day-to-day operational excellence and the long-term transformation of our product data landscape.
Key Responsibilities
Data Management & Cleansing: Execute data cleanup validation and enrichment activities to ensure accuracy and completeness across global and cluster-level product data.
Item Setup & Product Hierarchy: Support the creation maintenance and optimization of product hierarchies and item master data to improve data quality traceability and consistency.
Data Governance: Collaborate with global and regional data governance teams to define and enforce data standards naming conventions and business rules.
Cross-Functional Collaboration: Partner with Merchandising Planning IT and Analytics teams to ensure alignment of product data structures and to resolve discrepancies quickly.
Process Improvement: Identify gaps propose process enhancements and help standardize workflows to improve the efficiency and reliability of product data management.
Reporting & Insights: Generate reports and dashboards that track data quality metrics highlight issues and measure progress against cleanup objectives.
Qualifications
Education: Bachelors degree in Business Information Systems Data Management or a related field.
Experience: 24 years of experience in product master data management data operations or related analytics roles (preferably in retail apparel or consumer goods).
Strong understanding of product hierarchies SKU/item setup and data governance principles.
Hands-on experience with ERP / PIM / PLM systems (e.g. SAP Informatica Stibo etc.)
Proficiency in Excel
Excellent communication and collaboration skills to work across global and regional teams.
Why This Role Matters
This role is essential in driving global alignment and consistency in how we manage product data a foundational enabler for Levi Strauss & Co.s transformation in lifecycle management pricing strategies and product architecture. By ensuring clean structured and reliable data the Data Management Analyst helps unlock insights and accelerate our ability to deliver the right products to the right markets faster and smarter.
Benefits
We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care taking time off improving your health or planning for retirement weve got you covered.
Heres a small snapshot:
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 Levis products
We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us regardless of race religion gender gender identity pregnancy disability sexual orientation age national origin citizenship status or genetic information. We actively seek and encourage applications from diverse candidates including those with disabilities and offer accommodations throughout the selection process upon request. To ensure that our products and culture continue to incorporate everyones perspectives and experience we never discriminate based on race religion national origin gender identity or expression sexual orientation age or marital veteran or disability status.
Required Experience:
IC
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