Senior Data Analytics Engineer

New
LATAM-Based Only (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S.)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
4–6+ years
Required Skills
AWSSQLTableauAirflowData engineeringData modelingdbt

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
  • Deliver projects with clear estimation and predictable execution
  • Implement data validation checks and anomaly detection
  • Act as a trusted partner for Marketing and commercial teams
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