Offer summary

Qualifications:

Bachelor's degree in Data Science, Statistics, or a related field., Proficiency in data analysis tools and techniques, including statistical methods and AI applications., Experience in marketing analytics and customer acquisition strategies., Strong communication skills to collaborate with marketing stakeholders..

Key responsibilities:

Lead data analysis projects from inception to delivery, collaborating with stakeholders.

Analyze acquisition campaigns and provide actionable recommendations for performance improvement.

Design and evaluate A/B tests and incremental lift studies to optimize marketing strategies.

Build dashboards and reports to monitor KPIs and track the impact of marketing initiatives.

Job 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.

Required profile