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Analyst Sustainability & Responsibility Data

VF Corporation

Kuala Lumpur

On-site

MYR 60,000 - 80,000

Full time

8 days ago

Job summary

A leading global apparel company in Kuala Lumpur is seeking an Analyst, Sustainability & Responsibility (S&R) Data. This role involves supporting sustainability initiatives through data collection and analysis, with a focus on improving product safety and reducing environmental impact. Ideal candidates have strong analytical skills and proficiency in data visualization tools. This position offers growth opportunities in a collaborative environment.

Qualifications

  • 1+ years of experience as a data analyst, preferably in the supply chain industry.
  • Strong analytical and problem-solving skills.
  • Excellent in speaking and writing English.

Responsibilities

  • Support key performance indicator collection for sustainability initiatives.
  • Use visualization tools to present data insights.
  • Maintain and support data management applications.
  • Collaborate with cross-functional teams to gather data requirements.

Skills

Data analysis
Data visualization
Analytical skills
Communication skills
Problem-solving skills
Excel proficiency
Coding skills in R or Python
Knowledge of SQL

Education

Bachelor’s degree in Computer Science, Data Science, IT, Statistics, Mathematics

Tools

Tableau
Power BI
Excel
Job description
About the Role

As an Analyst, Sustainability & Responsibility (S&R) Data, you will play a vital role in advancing VF’s commitment to environmental stewardship and responsible business practices. You will support our Product Stewardship and Chemical Management programs by collecting, organizing, and analyzing key performance data that drives strategic decision-making across the organization.

In this role, you’ll work closely with cross-functional teams to manage and enhance data systems, develop insightful dashboards and reports, and ensure the integrity and accessibility of sustainability-related data. Your work will directly contribute to improving product safety, reducing environmental impact, and supporting VF’s broader sustainability goals.

This is an exciting opportunity for a data-driven professional who is passionate about sustainability and eager to make a tangible impact through technology, analytics, and collaboration.

Responsibilities
  • Support VF’s Product Stewardship and Chemical Management programs with key performance indicator collection, organization and cleaning of data, and reporting.
  • Use visualization tools (e.g., Excel, PowerPoint, Tableau, Power BI) to present data through reports and dashboards, incorporating analysis of trends, anomalies, and key performance indicators to support strategic business decision-making.
  • Maintain and support the Product Stewardship IT Platform (SARGE) and related S&R data management applications by overseeing daily operations, implementing enhancements, and managing databases.
  • Provide user support—including account setup, user guides, data configuration, and recommendations for system improvements.
  • Support the enhancement of product stewardship and chemical management processes and documentation to improve data quality, consistency, and reporting efficiency.
  • Collaborate with cross-functional S&R teams to gather data requirements and deliver solutions that align with business objectives.
  • Coordinate with Global Sourcing, Brands, Material Sourcing, Quality, and other stakeholders to manage product and material testing data and analysis requests.
  • Provide support for Product Stewardship system training as needed.
  • Continuously improving data management processes and business workflows within the S&R domain.
  • Assist with data requests across other S&R programs as required.
Skills
  • 1+ years of experience as a data analyst, preferably in the supply chain industry.
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Proficiency in at least one visualization tool such as Tableau, Power BI, or Looker Studio.
  • Excellent interpersonal skills with the ability to communicate effectively with stakeholders of all levels.
  • Excellent in speaking and writing English. Local language skills are a plus.
  • Advanced Excel skills, including expertise in functions like Power Query, or VBA.
  • Solid understanding of data flows, data architecture, ETL processes, and processing of structured and unstructured data.
  • Coding skills with R or Python, and familiarity with SQL is a plus.
  • Knowledge of other software such as Smartsheet/KNIME analytic platform/RPA and automation software is a plus.
  • Passion for sustainability and a commitment to driving positive change through data-driven decision-making.
VF Competencies

Job Role: Technical/Professional Individual Contributor

  • Continuous Improvement
  • Information Monitoring
  • Planning and Organizing
  • Good Communication
  • Contributing to Team Success
  • Adaptability
  • Continuous Learning
  • Driving for Results
Years of Related Professional Experience

1+ years

Educational / Position Requirements
  • Bachelor’s degree in Computer Science, Data Science, IT, Statistics, Mathematics, or other relevant experiences.

R-20250717-0101

VF Diversity Vision Statement: VF 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 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.

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