Job description
Description
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:
Intimate apparel: Shapermint, Truekind, Shapermint Essentials
Beauty: Revel Beauty, The Spa Dr.
Content & subscriptions: The BodCon
About the Role
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.
What you´ll be doing
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.
Requirements
What we´re looking for:
Degree in a quantitative field (e.g. Statistics, Economics, Engineering, Computer Science).
Strong experience in marketing or e-commerce analytics.
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.
Strong communication skills—you can explain complex ideas in a simple way.
Comfortable managing multiple projects and working across different teams.
A curious mindset—you love learning new things and finding better ways to do things.
Experience with machine learning techniques (e.g. predictive modeling, clustering, or classification) is highly desired.
What we offer:
Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
Opportunity to grow and develop both professionally and personally.
Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
Openness to new ideas and initiatives.
Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more!
