Senior Data Analytics Engineer – BI, LATAM

🕒 May 12

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Trafilea Tech E-commerce Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🤖 Artificial Intelligence

eCommerce • Artificial Intelligence • Marketing

Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.

📋 Description

• 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 • 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 • 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 • 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 • 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

🎯 Requirements

• 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)

🏖️ Benefits

• 100% Remote • USD competitive salary • Paid time off • More benefits