Senior Analyst, Packaging Optimization

VF Corporation

  • Singapore
  • Permanent
  • Full-time
  • 1 month ago
ABOUT VF:VF Corporation (NYSE: VFC) outfits consumers around the world with its diverse portfolio of iconic lifestyle brands, including Vans®, The North Face®, Timberland®, etc. Founded in 1899, VF is one of the world’s largest apparel, footwear and accessories companies with socially and environmentally responsible operations spanning numerous geographies, product categories and distribution channels. VF is committed to delivering innovative products to consumers and creating long-term value for its customers and shareholders. For more information, visit .BUSINESS TITLE (JOB POSTING TITLE): Professional II, Senior Data Analyst – Packaging / JP-5JOB PROFILE/GJF LEVEL: Level 5BRAND/ FUNCTION (if applicable): Supply Chain LogisticsLOCATION: SingaporeREPORTING TO: (business title of the hiring mgr.) Senior Director Logistics (Tom O’Donnell)ABOUT YOUR ROLE:As a key member of the Packaging and Product Optimization team, the Senior Data Analyst – Packaging plays a critical role in transforming how packaging insights are captured, analyzed, and applied across the business. This role will champion the integration of data-driven strategies into the packaging lifecycle to enhance operational efficiency, improve sustainability outcomes, and elevate consumer experience through smarter packaging solutions.YOUR RESPONSIBILITIES WILL INCLUDE:Include but not limited to
  • Lead end-to-end data initiatives that identify and support packaging cost-saving strategies and sustainability goals.
  • Develop models and visualizations to provide insights to packaging efficiency, material performance, cost savings, and waste reduction.
  • Collaborate with cross-functional teams to translate packaging goals into measurable KPIs and data-driven strategies.
  • Support packaging transformation projects with robust analytical frameworks and clear communication of insights to leadership teams.
  • Drive improvements in data governance and reporting processes to ensure packaging data accuracy and availability.
WHAT WE WILL BE LOOKING FOR IN YOU:
  • Bachelor’s or above in Data Science, Industrial Engineering, Packaging Science, Supply Chain, or a related discipline.
  • Minimum 3-5 years of relevant experience in data analysis, with at least 2 years specifically focused on packaging, manufacturing, or supply chain.
  • Proven track record of using analytics to drive tangible improvements in packaging operations or strategy.
  • Proven ability to influence and collaborate with diverse stakeholders in a matrixed environment.
  • Strong data analytics skills with advanced proficiency in Tableau/Power BI and Excel; SQL and Python/R is a plus.
  • Familiarity with PLM/ERP systems (e.g., SAP, FlexPLM) and packaging lifecycle tools is an advantage.
WHAT YOU CAN EXPECT FROM US:
  • Being a part of a movement that is Purpose led which enables us to have a positive impact on communities around the world, it gives greater meaning to the work we do.
  • Working with a team of diverse and sharp minds that work with an inclusive and global mindset because our differences are what make us stronger together.
  • Providing you with the best in class, work environment, well-being policies and work place flexibility that is about helping you show up and lean into life with your whole self – emotionally, physically and socially.
Statement on Diversity & InclusionAt VF, we foster an inclusive environment that welcomes and values the differences of our associates, customers, suppliers, and communities. VF is an equal opportunity employer. We’re committed to providing equal opportunities in employment and treating our associates and applicants without discrimination on the basis of their race, color, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status or any other legally protected factor.R-20250717-0006

VF Corporation