Data analyst senior - eCommerce - remote

Trafilea is a global tech eCommerce group that builds direct-to-consumer brands powered by data and meaningful connections. We operate in the intimate apparel and beauty space, with a focus on delivering high-quality products and creating communities that inspire confidence and body positivity.
The Marketing team @ Trafilea
Work across multiple brands, test ideas fast, and drive growth in a data-driven and agile environment. We support three business lines:

Revel Beauty, The Spa Dr.
Content & subscriptions: We’re looking for a curious, detail-oriented, and impact-driven Senior Data Analyst – Customer Acquisition to join our team. This person will turn data into insights to support decision-making, guide media strategy, and improve marketing performance. You’ll work closely with marketing stakeholders, support experimentation, and contribute to smarter attribution and budget allocation—leveraging AI tools and data science techniques in your day-to-day work.

Lead data analysis projects from scoping to delivery, collaborating with stakeholders to define questions and share actionable insights.
Analyze acquisition campaigns and provide data-backed recommendations to improve performance and customer journey outcomes.
Design and evaluate A/B tests and incremental lift studies.
Partner with marketing teams to translate business needs into robust analysis and strategic decisions.
Improve media mix and attribution methodology using internal data, experiments, and modeling.
Build dashboards and reports that help teams monitor KPIs and track impact.
Use statistical techniques like forecasting, sampling, simulations, and pattern recognition to solve marketing challenges.
Promote data best practices across teams and help democratize data access and understanding.
Stay updated on trends in marketing analytics and AI—and help bring those innovations into our daily processes.

Degree in a quantitative field (e.g. Statistics, Economics, Engineering, Computer Science).
Experience using AI tools and workflows in your day-to-day work, such as data enrichment, automation, advanced querying, or insight generation.
Advanced SQL skills and experience working with large-scale datasets and data warehouses.
Hands-on experience with Python for analysis and data manipulation.
Comfortable managing multiple projects and working across different teams.
Experience with machine learning techniques (e.g. predictive modeling, clustering, or classification) is highly desired.

Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!