Analytics Engineer
Description For Analytics Engineer
Vestiaire Collective, the leading global online marketplace for pre-loved fashion, is seeking an Analytics Engineer to play a central role in their data strategy. Founded in 2009 and headquartered in Paris, Vestiaire Collective has a diverse global team of 700 employees across multiple offices worldwide.
As an Analytics Engineer, you'll be at the heart of data-driven initiatives, working with cross-functional teams to transform raw data into a single source of truth data mart. Your work will directly influence key decisions in growth marketing, product analytics, and business performance.
Key responsibilities include:
- Designing and maintaining data pipelines using Airflow, Snowflake, and DBT
- Developing advanced data models for attribution modeling, user behavior analysis, and A/B testing
- Collaborating with marketing, product, and tech teams to translate requirements into technical solutions
- Ensuring scalability and performance of data infrastructure
- Implementing data quality checks and monitoring systems
- Innovating with new technologies to enhance data capabilities
- Assisting in building key dashboards using Tableau
The ideal candidate has a Bachelor's/Master's in a relevant field, 2-3 years of experience in analytics engineering, and strong skills in ETL, data warehousing, dataOps, and data modeling. Proficiency in DBT, SQL, Python or R, and experience with cloud data technologies is required.
Vestiaire Collective offers a meaningful job with impact on sustainable fashion consumption, career growth opportunities in a fast-growing scale-up, a globally diverse team, volunteer opportunities, learning investments, competitive compensation, and free shares. They encourage applications from women and underrepresented communities, even if all criteria are not met.
Join Vestiaire Collective to transform the fashion industry and drive data-driven decision-making in a sustainable, circular fashion movement.
Responsibilities For Analytics Engineer
- Design, implement, and maintain efficient and reliable data pipelines using Airflow, Snowflake, DBT
- Develop advanced data models for attribution modeling, user behavior analysis, and A/B testing
- Collaborate with marketing, product and tech teams to translate requirements into technical solutions
- Ensure scalability and performance of data infrastructure
- Implement and maintain data quality checks and monitoring systems
- Innovate and integrate new technologies to enhance data capabilities
- Assist in building key dashboards in Tableau for data-driven decision-making
Requirements For Analytics Engineer
- Bachelor's/Master's in Computer Science, Engineering, Statistics, or related field
- Minimum 2-3 years experience in analytics engineering
- Strong skills in ETL, data warehousing, dataOps and data modeling
- Advanced experience in DBT for data modeling
- Proficient in SQL and programming languages like Python or R
- Experience with cloud data technologies and big data tools
Benefits For Analytics Engineer
- Meaningful job with impact on sustainable fashion
- Career growth opportunities in a fast-growing scale-up
- Globally diverse team with more than 50 nationalities
- Two days for volunteer work
- Investment in learning and growth
- Competitive compensation and benefits package
- Free shares as part of the entrepreneurial project
