Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q2h6z

Job Responsibilities We're looking for a Senior Analytics Engineer (BI) to take ownership of our marketing and business intelligence layer.This role sits at the intersection of data engineering, analytics, and business impact —ensuring our reporting is reliable, scalable, and drives better decision-making.You will play a key role in improving our marketing reporting platform, building high-quality data models, and partnering with stakeholders to turn data into actionable insights.What You'll Do1. 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 analysis2. 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 layer3. 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 execution4.



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 reporting5. 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 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, and more.#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q2h6z

📌 Senior Data Analytics Engineer (Bi - Latam-Based Only) (Buenos Aires)
🏢 Trafilea
📍 Buenos Aires