Senior Data Analytics Engineer (BI - LATAM-Based)

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.

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.

We’re looking for a Senior Analytics Engineer (BI) to take ownership of our marketing and business intelligence layer. This role sits at the intersection of data engineering, analytics, and business impact—ensuring our reporting is reliable, scalable, and drives better decision-making.

You will play a key role in improving our marketing reporting platform, building high-quality data models, and partnering with stakeholders to turn data into actionable insights.

• Ensure dashboards and reports are accurate, reliable, and always available

• Implement monitoring, alerting, and SLAs for critical reporting assets

• Investigate and resolve data issues with a clear root-cause analysis

• Design and optimize SQL transformations and data models

• Improve the performance of datasets and reporting queries

• Reduce duplication by centralizing business logic in the data layer

• Build and maintain dashboards, reports, and analytical tools

• Translate business needs into scalable BI solutions

• Deliver projects with clear estimation and predictable execution

• Implement data validation checks and anomaly detection

• Proactively identify issues before they impact stakeholders

• Improve overall data quality across pipelines and reporting

• Act as a trusted partner for Marketing and commercial teams

• Define and maintain key metrics (CAC, ROAS, conversion funnels, etc.)

• Generate insights that directly influence business decisions