Senior Data Analyst (SQL/NoSQL, Python)

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 $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

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.

Key Responsibilities

• Support the definition of project scope, objectives, and data requirements.
• Deliver insights and recommendations to Marketing Acquisition, and stakeholders.
• Identify trends and growth opportunities through data interpretation.
• Partner with Acquisition, Data Science, and Marketing to ensure analytical alignment.
• Contribute to the design of methodologies for campaign testing, attribution, and econometric/statistical KPIs.
• Work with BI teams to design and validate dashboards for digital performance.
• Support A/B tests, lift tests, simulations, forecasting, and ad‑hoc analysis.
• Improve attribution/media mix methodologies through data analysis.
• Prepare technical reports, briefings, and presentations.
• Maintain clear documentation of acquisition methodologies and data science initiatives.

Requirements

• Bachelor’s in Computer Science, Engineering, Statistics, Economics, or related field.
• 4+ years in data analysis (SQL/NoSQL & Python)
• Proficient in SQL & Data Warehouse environments.
• Strong Python analytics skills.
• Data visualization expertise (Tableau, dashboards).
• Strong analytical and quantitative skills.
• Ability to manage multiple projects simultaneously.
• Proactive, detail‑oriented, and ownership‑driven.
• Strong communicator with ability to simplify complexity.
• Enthusiastic about learning and applying new data technologies.
• Experience in marketing or e‑commerce analytics (preferred).