Data Product Analyst

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion connecting millions of buyers and sellers across the world. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and Brooklyn, we combine the desirability of luxury with the trust and rigour that make buying pre-loved effortless and safe.

We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective.

Data Product Analyst - Operations

Full-time Temporary position based in Ho Chi Minh City

Timeline: From December 1st 2026 until June or July 2027.

About the Role

We are looking for a Data Analyst as part of the Product Team and reporting to the Data Product Lead, and working closely with the Customer Experience & Operations Products & Tech teams.

We are seeking for someone with exceptional skills in SQL and a strong emphasis on impact assessment.

You will be defining KPIs, creating dashboards and analyzing data to generate hypotheses, targets and follow up on the impact we generate for our customers and the company.

You will advocate for data driven culture, as well objective analysis over the impact of our work.

This is a full-time, Temporary role based in our Ho Chi Minh City office.

Key Responsibilities

• Ensure the proper definition and monitoring of the team KPIs & OKRs

• Support Customer Experience & Operations Product managers with data analysis for specific business cases.

• Define key user actions to be tracked to ensure we are able to analyse their behaviour and make sound decisions to improve the User Experience.

• Conduct data querying and analysis, supporting the team in providing actionable data insights that lead to measurable impact.

• Create reports & dashboards for communicating insights with stakeholders.

• Work on A/B test setup and analysis to validate core hypotheses and assess the impact of product changes.

• Manage stakeholder relationships and facilitate data-driven decision-making.

Who You Are

• Bachelor's degree in Statistics, Economics/Business (with a data focus), Engineering, or related field.

• Minimum 5 years of experience in data & product analytics, preferably in e-commerce and operations, you adapt quickly in fast-paced environments.

• Proficient in SQL. (Experience in Python is a plus)

• You’re curious about AI and how it can improve your work, and keen to explore practical ways to use it in your day-to-day activities. 

• Experienced in statistical methods and experimentation.

• Skilled in data visualisation tools (e.g., Tableau, Power BI, Looker).

• Strong communication skills in English. 

• A team player who is structured, detail-oriented, and thrives in a startup environment.

• Passionate about the fashion/luxury industry.

• A rare chance to own two of the most important, unsolved problems at the world's leading pre-loved luxury platform — trust and desirability.

• Proximity to our Engineering team in HCMC — ship fast, learn fast, build together.

• The chance to shape how AI transforms authentication, fraud prevention and product imagery.

• An international, fast-paced, mission-driven team transforming fashion toward circularity.

• Competitive salary and bonus.

• A meaningful job with an impact on the way people consume fashion and promote sustainability

• Two days to help Project - reinforcing your activist journey and volunteer for an association

• Significant investment in your learning and growth

 

 

Research indicates that people from underrepresented backgrounds—including women, people with disabilities, and other marginalized communities—often hesitate to apply for roles unless they meet every single requirement.

 

At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box.