Job Description
Description
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.
Key Responsibilities
We’re looking for a Senior Data Analytics Engineer to take ownership of our BI ecosystem and drive high-impact improvements in data reliability, performance, and business insights.
This role sits at the intersection of data engineering, analytics, and business strategy, working closely with Marketing and cross-functional teams to ensure data is not only accurate — but actionable.
You’ll play a key role in transforming how the company uses data to make decisions.
Own and improve the reliability and performance of dashboards and reporting systems
Design and optimize data models and SQL transformations in the data warehouse
Build and maintain scalable BI solutions using Tableau and cloud data platforms
Implement data quality checks, monitoring, and anomaly detection systems
Partner with stakeholders to translate business needs into robust data products
Improve query performance and reduce reporting inefficiencies
Define and standardize KPI frameworks, especially for Marketing metrics
Ensure documentation, ownership, and governance across all BI assets
Requirements
4–6+ years in BI, Analytics Engineering, or Data Engineering
Advanced SQL (CTEs, window functions, performance tuning)
Strong experience with Tableau
Experience working with data warehouses and transformation layers
Hands-on experience with Git and version-controlled workflows
Strong analytical mindset and attention to detail
Ability to work with both technical and business stakeholders
Nice to have
Experience with AWS stack (S3, Redshift, Athena, Glue, etc.)
Experience with dbt, Airflow, or modern ELT pipelines
Background in Marketing analytics (CAC, ROAS, LTV, funnels, etc.)
