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 aSenior Analytics Engineer (BI) to take ownership of our marketing and business intelligence layer. This role sits at the intersection ofdata engineering, analytics, and business impact—ensuring our reporting is reliable, scalable, and drives better decision-making.

You will play a key role in improving ourmarketing 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 areaccurate, reliable, and always available

• Implementmonitoring, 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 optimizeSQL 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 maintaindashboards, reports, and analytical tools

• Translate business needs into scalable BI solutions

• Deliver projects withclear estimation and predictable execution

4. Ensure Data Trust & Observability

• Implementdata 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 atrusted 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 inAnalytics Engineering, BI, or Data Engineering

• AdvancedSQL skills (joins, CTEs, window functions, optimization)

• Strong experience withBI tools (Tableau or similar)

• Experience building and maintainingdata models and pipelines

• Proven ownership ofproduction reporting and data quality

• Ability to communicate insights to bothtechnical and non-technical stakeholders
  

  Nice to Have

  • Experience withAWS stack (S3, Redshift, Glue, Athena, etc.)

  • Familiarity withdbt, Airflow, or modern ELT frameworks

  • Experience inmarketing analytics (CAC, ROAS, LTV, funnels, retention)