Senior Data Analytics Engineer, BI

Stellenbeschreibung:

Own Reporting Reliability & Data Quality – ensure dashboards and reports are accurate, reliable, and always available. Implement monitoring, alerting, and SLAs for critical reporting assets and 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, and 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, and improve overall data quality across pipelines and reporting.
Partner with Business – act as a trusted partner for Marketing and commercial teams, define and maintain key metrics (CAC, ROAS, conversion funnels, etc.), and 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).