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Senior Data Analytics Engineer at Trafilea. Location Information: Latin America. 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.. Job Responsibilities. 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.. What You’ll Do. 1. Own Reporting Reliability & Data Quality. 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. 2. Build Scalable Data Models. 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. 3. Deliver High-Impact BI Solutions. Build and maintain . dashboards, reports, and analytical tools. Translate business needs into scalable BI solutions. Deliver projects with . clear estimation and predictable execution. 4. Ensure Data Trust & Observability. Implement . data validation checks and anomaly detection. Proactively identify issues before they impact stakeholders. Improve overall data quality across pipelines and reporting. 5. Partner with the Business. 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. 4–6+ years in . Analytics Engineering, BI, or Data Engineering. Advanced . SQL skills. (joins, CTEs, window functions, optimization). Strong experience with . BI tools (Tableau or similar). Experience building and maintaining . data models and pipelines. Proven ownership of . production reporting and data quality. Ability to communicate insights to both . technical and non-technical stakeholders. Nice to Have. Experience with . AWS stack (S3, Redshift, Glue, Athena, etc.). Familiarity with . dbt, Airflow, or modern ELT frameworks. Experience in . marketing analytics (CAC, ROAS, LTV, funnels, retention)