Senior Analyst, Packaging Optimization

VF Corporation; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading global apparel company in Singapore is looking for a Senior Data Analyst in Packaging. This role focuses on leveraging data to enhance operational efficiency and create sustainable packaging solutions. Candidates should possess a Bachelor's degree and 3-5 years of experience in data analysis, especially in supply chain or packaging. Strong skills in analytics tools such as Tableau and Power BI are essential. The position allows for collaboration across diverse teams, fostering an inclusive and impactful work environment.

Benefits

Best-in-class work environment

Workplace flexibility

Well-being policies

Qualifications

• Minimum 3-5 years of relevant experience in data analysis.
• At least 2 years specifically focused on packaging, manufacturing, or supply chain.
• Proven ability to influence and collaborate with diverse stakeholders.

Responsibilities

• Lead end-to-end data initiatives for packaging cost-saving strategies.
• Develop models and visualizations for packaging efficiency.
• Collaborate with teams to translate packaging goals into measurable KPIs.

Skills

Data analytics

Collaboration

Presentation skills

Problem-solving

Education

Bachelor's or above in Data Science, Industrial Engineering, Packaging Science, Supply Chain

Tools

Tableau

Power BI

Excel

SQL

Python

SAP

FlexPLM

Job description

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 www.vfc.com .

BUSINESS TITLE (JOB POSTING TITLE): Professional II, Senior Data Analyst – Packaging / JP-5

JOB PROFILE/GJF LEVEL: Level 5

BRAND/ FUNCTION (if applicable) : Supply Chain Logistics

LOCATION: Singapore

REPORTING 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 & Inclusion

At 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 Diversity Vision StatementVF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world.VF is an equal employment opportunity/ affirmative action employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, 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.