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October 24, 2026

Data Analyst

Mid • On-site

58,000 - 91,000 EUR/yr

Berlin, Germany

Quick Facts

Role: Data Analyst (m/w/d)
Work model: Hybrid depending on project requirements
Schedule: Full-time (Mon–Fri), typical office hours; occasional flexibility for deadlines
Work location: On-site
Salary: €58,000–€91,000 per year
Benefits: Vacation and social benefits in line with German law; structured onboarding, modern tools, and opportunities for professional development.

Description

You will collect, prepare, and analyze data from multiple sources and turn it into actionable insights for stakeholders. The role includes building and maintaining KPI dashboards, reports, and ad-hoc analyses, as well as defining metric logic and reporting standards. You will also ensure data quality and support automation and standardization of recurring reporting workflows with DSGVO/GDPR-compliant data handling.

Responsibilities

  • Collect, prepare, and analyze data from sources such as CRM/ERP systems, Excel exports, and databases
  • Create and maintain reports, KPI overviews, and dashboards (e.g., Power BI or similar tools)
  • Run ad-hoc analyses to support projects and management requests
  • Develop and document KPI definitions, data logic, and reporting standards
  • Review data quality, identify deviations, and recommend improvement measures
  • Support automation and standardization of recurring analyses and reporting
  • Collaborate with project teams and business departments to gather requirements and communicate results clearly
  • Create decision templates and presentations (e.g., PowerPoint) for non-technical stakeholders
  • Follow privacy and security rules, especially GDPR/DSGVO-compliant handling of data

Requirements

  • Completed degree in Data Analytics, Business Informatics, Statistics, Mathematics, or BWL/VWL with an analytics focus (or comparable qualification)
  • Relevant experience as a Data Analyst, Business Analyst, Reporting Analyst, or in a comparable analytical role
  • Excellent MS Excel skills (Pivot, complex formulas, data preparation)
  • Very good German language skills (written and spoken); English knowledge is beneficial
  • Structured, careful approach with strong attention to detail
  • Ability to present and explain analysis results clearly and appropriately for the audience
  • Team-oriented, reliable, and professional handling of confidential information
  • Work authorization for Germany
  • Plus: SQL, BI tools (Power BI/Tableau/Looker), basic Python or R, and experience with data modeling and ETL/ELT or data pipelines

Benefits

  • Structured onboarding and clear task packages
  • Modern work equipment and a collegial, professional environment with short decision paths
  • Expert and career development through varied analysis and reporting topics
  • Hybrid work model depending on project requirements
  • Vacation and social benefits according to German legal requirements
  • Salary: €58,000–€91,000 per year

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