Senior Data Analytics Engineer (BI)

About this role

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)