Marketing Measurement Analyst

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion.

Our mission is simple: make circular fashion the norm, not the exception.

Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way.

Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US.

Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry.

Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day.

About the role ️

As a Growth Analyst you'll be reporting directly to the VP of Performance Marketing and be exposed to Commercial senior leadership. You will be part of the global Performance Marketing team and be responsible for building the measurement infrastructure that drives how we allocate marketing spend.

You'll use your quantitative background to design and run incrementality experiments, maintain and evolve MMM models, and translate complex measurement outputs into clear budget recommendations for senior leadership. If you enjoy working at the intersection of causal inference, marketing science, and data engineering, and want your work to have a clear impact on results, we're looking for someone like you.

What you will do

• Design, execute, and analyze incrementality experiments (geo, holdout, synthetic control) to measure true causal impact of marketing spend

• Maintain and evolve MMM models to support budget planning and scenario analysis

• Deliver budget allocation recommendations to senior marketing leadership

• Build and refine LTV models to inform acquisition and retention strategy

• Develop automation pipelines for budget pacing and allocation decisions

• Support data ingestion and ETL processes for marketing platforms (Meta, Google, etc.)

• Build dashboards and self-serve reporting tools for cross-functional teams

Who you are

• You have an advanced degree (Master's preferred) in Statistics, Data Science, Economics, Engineering, or a related quantitative field

• You bring 3+ years of experience in marketing analytics, data science, or other quantitative roles or equivalent hands-on experience in marketing measurement

• You have clear knowledge of all topics related to marketing measurement, including MMM, incrementality testing (geo experiments, holdout groups, synthetic control), attribution modeling, attribution and testing

• You're proficient in Python or R for data analysis, statistical modeling, and automation

• You're advanced with SQL and experienced with at least one data visualization tool such as Tableau, Looker, or Google Data Studio

• You're familiar with ETL processes, statistical analysis (hypothesis testing, regression, causal inference), and tools like Robyn, Meridian, PyMC, Prophet, or Scikit-learn

• You have strong statistical foundations, comfortable reasoning across both Bayesian and frequentist frameworks, interpreting uplift, and communicating uncertainty clearly to non-technical stakeholders.

• You can translate complex measurement outputs into clear, actionable recommendations for senior non-technical stakeholders

• You're curious, structured, and able to navigate ambiguity and operate autonomously in a fast-paced environment

• You are fluent in English

€50,000 - €56,000 a year

What We Offer

• Purpose-driven work at scale

Join a company reshaping the fashion industry towards circularity, you directly contributes to reducing waste and extending the life of luxury items.

• High-impact scope & ownership

Work on products used globally, where your decisions have immediate, measurable impact on millions of users across 70+ countries.

• A truly international environment

Collaborate with a diverse team of 50+ nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City.

• Career acceleration in a fast-moving scale-up

Take ownership early, grow fast, and shape your path, as an expert or a future leader.

• Learning & growth as a priority

Dedicated budget, continuous feedback culture, and opportunities to work on cutting-edge topics (AI, marketplace dynamics, scalability, etc.).

• Flexible ways of working

Hybrid model (typically 2 days remote per week), with trust and autonomy at the core of how we operate.

• Give back through action

2 paid days per year to support a cause of your choice and actively contribute to positive impact beyond your day-to-day role.

• Competitive compensation & benefits

Including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks depending on your location.

Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria.

At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact.

If this role excites you but your experience doesn't align perfectly, we still encourage you to apply, your perspective could be exactly what we're looking for.

Vestiaire Collective is proud to be an equal opportunity employer.

PS: We take candidate experience seriously, and your safety too !

Vestiaire Collective will only contact you through official email addresses ending in @vestiairecollective.com or [email protected].

We will never:

• Contact you via WhatsApp, Telegram, or similar platforms
• Ask for payment or banking information at any stage of the process

If you receive a suspicious message, please report it to: [email protected]

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.