Senior Data Analytics Engineer (BI)
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.
Own the reliability, accuracy, and availability of critical dashboards and reporting assets.
Implement monitoring, alerting, SLAs, data validation, and anomaly detection to identify issues before they impact the business.
Investigate and resolve data issues through clear root-cause analysis, continuously improving overall data quality.
Design and optimize SQL transformations, data models, datasets, and reporting queries for scalability and performance.
Centralize business logic in the data layer to reduce duplication and create consistent, trusted metrics.
Build and maintain dashboards, reports, and analytical tools, translating business needs into scalable BI solutions.
Own BI projects from estimation through delivery, ensuring clear scope and predictable execution.
Partner with Marketing and commercial teams to define key metrics—including CAC, ROAS, and conversion funnels—and turn data into insights that directly influence business decisions.
Must-Have:
4–6+ years in Analytics Engineering, BI, or Data Engineering.
Advanced SQL (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 technical and non-technical stakeholders.
Nice-to-Have:
AWS stack (S3, Redshift, Glue, Athena, etc.)
dbt, Airflow, or modern ELT frameworks
Marketing analytics experience (CAC, ROAS, LTV, funnels, retention)