- Own voize's company data from the warehouse to the dashboards
- Model company data in dbt on Redshift using layered, tested, and documented models
- Build and operate the company KPI dashboard in Lightdash
- Provide self-serve analytics for every team
- Own metric modeling and propose company-wide metric definitions
- Ensure metrics are defensible, with sign-off from data leadership
- Maintain the ingestion layer, including Fivetran connectors and existing ETL jobs
- Coordinate closely with engineering
- Translate ambiguous business questions from Finance, RevOps, Product, and Customer Success into trusted, self-serve answers
- Shape the data foundation, standards, and architecture as the Data & AI function scales
- Ensure data supporting voize and its AI layer is reliable, safe, and scalable
Requirements
- 4+ years owning analytics from the warehouse onwards (modelling, reporting, BI) in production
- Experience ideally as an early or founding data hire
- Deep SQL knowledge
- Strong dbt skills, including layered models, tests, CI, semantic / metric layers
- Experience with a cloud data warehouse in production; Redshift ideal, or Snowflake or BigQuery with willingness to switch
- Experience with a BI tool people actually use
- Business-facing autonomy and ability to partner with non-technical stakeholders
- Ability to propose and defend metric definitions
- Ability to document, test, and monitor by default
- Track record of leveraging AI, automating, and building workflows with AI
- Must be registered/living in Germany
- Legal right to work in Germany
- English at B2 (advanced) level or higher and comfort using it at work
- English resume required
Core Competencies
Demonstrates expertise in data modeling, analytics ownership, and BI tool implementation, with a strong focus on SQL and dbt for scalable data solutions. Proven ability to collaborate with cross-functional teams and translate business needs into actionable insights.
Highest-signal resume keywords
- SQL Expertise
- Dbt Proficiency
- Redshift Experience
- BI Tool Implementation
- Metric Definition Ownership
Hard Skills
- Data Modeling
- Analytics Ownership
- ETL Processes
- KPI Dashboard Development
- Metric Modeling
- Data Documentation
- Data Testing
- AI Workflow Automation
- Self-Serve Analytics
- Cloud Data Warehouse
Soft Skills
- Business-Facing Autonomy
- Stakeholder Collaboration
- Problem-Solving
Industry Keywords
- Data Warehouse
- Business Intelligence
- Metric Definitions
- Data Architecture
- Analytics
Tools & Technologies
- Dbt
- Redshift
- Fivetran
- Lightdash
- Snowflake
- BigQuery
#J-18808-Ljbffr
Senior Analytics Engineer in Berlin Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.