Senior Data Analytics Engineer

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

We’re looking for a Senior Data Analytics Engineer to take ownership of our BI ecosystem and drive high-impact improvements in data reliability, performance, and business insights.

This role sits at the intersection of data engineering, analytics, and business strategy, working closely with Marketing and cross-functional teams to ensure data is not only accurate — but actionable.

You’ll play a key role in transforming how the company uses data to make decisions.

• Own and improve the reliability and performance of dashboards and reporting systems

• Design and optimize data models and SQL transformations in the data warehouse

• Build and maintain scalable BI solutions using Tableau and cloud data platforms

• Implement data quality checks, monitoring, and anomaly detection systems

• Partner with stakeholders to translate business needs into robust data products

• Improve query performance and reduce reporting inefficiencies

• Define and standardize KPI frameworks, especially for Marketing metrics

• Ensure documentation, ownership, and governance across all BI assets