Senior Data Analytics Engineer, BI

Jobtailor; Deutschland; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking an Analytics Engineer to drive reliability, data quality, and scalable BI. You will own dashboards, implement monitoring, and ensure reports are accurate and available, translating business needs into robust analytics assets.

You will design data models, optimize SQL transformations, and collaborate with Marketing and commercial teams to define metrics like CAC and ROAS, delivering high-impact insights and timely, transparent reporting.

Qualifikationen

• Strong SQL skills with complex joins, windows, and optimizations.
• Experience building and maintaining scalable data models and pipelines.
• Proven ownership of production reporting and data quality.
• Ability to translate business needs into BI solutions for stakeholders.
• Experience in marketing analytics (CAC, ROAS, funnels) is a plus.
• Familiarity with AWS services (S3/Redshift) is advantageous.

Aufgaben

• Own reporting reliability and data quality with dashboards and alerts.
• Build scalable data models and optimize transformations.
• Deliver high-impact BI solutions and dashboards translating business needs.
• Ensure data trust and observability across pipelines.
• Partner with Marketing and commercial teams to define key metrics and insights.

Kenntnisse

Advanced SQL

BI Tools (Tableau)

Data Modeling

Production Reporting

Data Quality

Stakeholder Communication

AWS Stack

dbt

Airflow

Marketing Analytics

Tools

Tableau

AWS

dbt

Airflow

Jobbeschreibung

Responsibilities

• 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.

Qualifications

• 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).

Tools & Technologies

• Tableau
• AWS (S3, Redshift, Glue, Athena)
• dbt
• Airflow