Senior Data Analytics Engineer, BI

Trafilea Tech E-commerce Group

Senior Analytics Engineer responsible for ensuring data reliability, quality and impactful reporting. Work with marketing and comercial teams at Trafilea to drive business decisions.

Posted 6/23/2026full-timeRemote • 🇺🇾 UruguaySeniorWebsite

ATS Keywords

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Hard Skills

SQLdata modelingdata pipelinesdata validationanomaly detectionreportingdata qualityperformance optimizationroot-cause analysisbusiness intelligence

Soft Skills

communicationstakeholder managementproblem-solvingcollaborationanalytical thinking

Tools & Technologies

TableauAWSS3RedshiftGlueAthenadbtAirflow

Industry Keywords

Analytics EngineeringBImarketing analyticsCACROASLTVconversion funnelsretention

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

100% Remote
USD competitive salary
Paid time off