About the job
About Trafilea
Trafilea is a cutting-edge Consumer Tech Platform dedicated to transformative brand growth. We are developing an AI Growth Engine designed to empower the next wave of consumer brands.
With over $1 billion in cumulative revenue, a customer base exceeding 12 million, and a talented workforce of over 500 across 19 countries, we merge technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
As owners and operators of our own digitally native brands (not an agency), we proudly partner with major retailers like Walmart, Nordstrom, and Amazon, and maintain a robust global D2C presence.
Why Trafilea?
Join a tech-led eCommerce group scaling globally adored DTC brands while fostering rapid growth for ambitious talent.
We build and scale our own brands.
We heavily invest in AI and automation, setting us apart in the eCommerce sector.
We embrace rapid testing and growth, empowering you to do the same.
Become part of a dynamic, diverse, and talented global team.
Enjoy a fully remote work environment, competitive USD salary, paid time off, and additional benefits.
Key Responsibilities
The mission of the Data Analyst is to utilize data, computational science, and technology to generate insights that drive business performance. Through statistical analysis, data visualization, and an understanding of population segments, this role plays a crucial part in guiding the business towards optimizing decisions, enhancing marketing performance, and achieving strategic outcomes.
Assist in defining project scope, objectives, and data requirements.
Deliver actionable insights and recommendations to Marketing Acquisition and stakeholders.
Analyze data to identify trends and growth opportunities.
Collaborate with Acquisition, Data Science, and Marketing teams to ensure analytical cohesion.
Contribute to the development of methodologies for campaign testing, attribution, and econometric/statistical KPIs.
Work with BI teams to create and validate dashboards for digital performance metrics.
Support A/B testing, lift testing, simulations, forecasting, and ad-hoc analyses.
Enhance attribution/media mix methodologies through thorough data analysis.
Prepare comprehensive technical reports, briefings, and presentations.
Maintain detailed documentation of acquisition methodologies and data science initiatives.
