Senior Data Analytics Engineer (BI)
New
LATAM-BasedFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–6+ years
- Required Skills
- SQLTableauData modeling
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
- Experience with AWS stack (S3, Redshift, Glue, Athena, etc.) (Nice to Have)
- Familiarity with dbt, Airflow, or modern ELT frameworks (Nice to Have)
- Experience in marketing analytics (CAC, ROAS, LTV, funnels, retention) (Nice to Have)
Responsibilities
- 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
- 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
- Build and maintain dashboards, reports, and analytical tools
- Translate business needs into scalable BI solutions
- Deliver projects with clear estimation and predictable execution
- Implement data validation checks and anomaly detection
- Proactively identify issues before they impact stakeholders
- Improve overall data quality across pipelines and reporting
- 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
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