About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over 12M+ customers and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We are building technology and an AI-driven marketing platform to lead the AI marketing transformation—driving innovation, incremental growth, creative intelligence, and more intelligent budget allocation. This proprietary platform will empower our teams to make data-driven decisions, accelerate experimentation, and unlock the next era of performance and creativity across all our brands.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

• We build and scale our own brands.
• We invest in AI and automation like few others in eCom.
• We test fast, grow fast, and help you do the same.
• Be part of a dynamic, diverse, and talented global team.
• 100% Remote, USD competitive salary, paid time off, and more.

About the Role

We're looking for a Senior Data Analyst who combines analytical rigor with business impact. In this role, you'll be the technical expert behind our marketing performance strategy, transforming complex data into clear insights that drive multi-million dollar investment decisions across paid media channels.

Reporting to our Marketing Performance Manager, you'll dive deep into attribution, incrementality, and conversion optimization—using SQL, Python, and statistical modeling to answer the questions that matter. If you love uncovering the "why" behind the numbers, building tools that scale, and seeing your analyses turn into action, this is your role.

You'll work in a fast-paced e-commerce environment where data drives decisions, experimentation is the norm, and your insights directly impact revenue and profitability.

What You'll Do

Analyze & Uncover Insights

• Conduct deep-dive analyses on channel and campaign performance (CVR, ROAS, CAC, LTV) to identify optimization opportunities
• Perform exploratory data analysis (EDA) to answer ad-hoc business questions and validate hypotheses
• Investigate anomalies and performance variances, delivering root-cause analysis with actionable recommendations

Model & Predict

• Design and analyze incrementality experiments (geo-lift, holdouts, A/B tests) to measure causal impact
• Support attribution modeling efforts to understand customer journey effectiveness
• Build and maintain predictive models using linear/logistic regression and time-series forecasting

Automate & Scale

• Create Python/SQL scripts to automate recurring reports and data pipelines
• Build tools that reduce manual work and improve team efficiency
• Develop QA processes to ensure data quality and consistency

Partner with the Business

• Translate business questions into technical analyses and vice versa
• Present findings clearly to non-technical stakeholders (Marketing, Finance, Leadership)
• Collaborate with BI, Growth, and Marketing teams to design dashboards and validate metrics
• Proactively surface insights that drive strategic decisions

Share Knowledge

• Document methodologies, analyses, and code for team use
• Train and mentor junior analysts
• Establish best practices for analytical work

What You Bring

Technical Skills (Must Have)

• Advanced SQL: Complex queries, CTEs, window functions, subqueries; experience with data warehouses (BigQuery, Snowflake, or Redshift)
• Python for Analytics: Pandas, NumPy, data manipulation; visualization libraries (Matplotlib, Seaborn, Plotly); scripting for automation
• Statistical Modeling: Linear/logistic regression, time-series forecasting, hypothesis testing; model validation and diagnostics
• Marketing Analytics: understanding of digital marketing KPIs (CTR, CPC, CVR, ROAS, CAC, LTV); familiarity with ad platforms (Meta, Google, TikTok, etc.)
• Data Visualization: Ability to create clear, compelling charts and dashboards; experience with BI tools (Tableau, Looker, Power BI, or similar)

Technical Skills (Nice to Have)

• Experience with incrementality measurement (geo-experiments, holdout tests)
• Familiarity with attribution modeling (MTA, MMM concepts)
• A/B testing and experimental design experience
• E-commerce or DTC analytics background

Soft Skills

• Analytical mindset: Structured problem-solver who breaks down complex questions and validates data skeptically
• Communication: Translate technical findings into business language; storytelling with data; adapt to different audiences
• Business acumen: Understand e-commerce unit economics and P&L impact; prioritize high-impact work
• Proactivity: Self-starter who identifies opportunities without being asked; proposes solutions, not just problems
• Collaboration: Work effectively across teams (Marketing, Finance, Product, BI); give and receive feedback constructively
• Attention to detail: Meticulous in data validation, documentation, and code quality