Lead Data & Analytics

Stellenbeschreibung:

  • Lead and develop the Data & Analytics team, both in terms of subject-matter leadership and line management
  • Establish clear structures, roles and standards to ensure scalability, quality and future viability
  • Expand data engineering capabilities and strengthen the technical foundation
  • Take responsibility for data architecture and the data warehouse
  • Ensure consistent, reliable data for decision-making
  • Further develop dashboards, reports and self-service analytics
  • Empower business units in working with data and analyses
  • Translate business requirements into scalable data & analytics solutions
  • Collaborate closely with executive management, the CTO, IT and business teams
  • Monitor and evaluate automation and AI opportunities

Requirements

  • Several years of professional experience in technical and line management of data, analytics or engineering teams
  • Technical and conceptual expertise in data engineering & data warehouse architectures as well as in analytics & business intelligence
  • Strong architectural and systems understanding
  • Practical experience with modern data & analytics stacks (e.g. Python, MS SQL, dbt, Docker, Power BI, SSIS, Airflow/Dagster)
  • Ability to present technical complexity in an understandable way
  • Experience building or further developing scalable data & analytics structures

Core Competencies

Demonstrates expertise in leading data engineering and analytics teams, with a strong focus on data architecture, scalable solutions, and effective collaboration with business units. Proficient in modern data stacks and capable of translating complex technical concepts into actionable insights.

Highest-signal resume keywords

  • Data Engineering Expertise
  • Data Warehouse Architecture
  • Analytics & Business Intelligence
  • Modern Data Stacks Proficiency
  • Technical Leadership

ATS Optimization Keywords

Hard Skills

  • Data Architecture
  • Data Warehouse
  • Data Engineering
  • Analytics
  • Business Intelligence
  • Scalable Data Structures
  • Automation
  • AI Opportunities
  • Technical Presentation
  • Systems Understanding

Soft Skills

  • Leadership
  • Collaboration
  • Communication

Industry Keywords

  • Data & Analytics
  • Decision-Making
  • Self-Service Analytics
  • Executive Collaboration

Tools & Technologies

  • Python
  • MS SQL
  • Dbt
  • Docker
  • Power BI
  • SSIS
  • Airflow
  • Dagster

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Stelleninformationen

  • Veröffentlichungsdatum:

    18 Aug 2026
  • Standort:

    Düsseldorf
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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