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

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