Analytics Engineer

Statista GmbH
Hamburg, Germany
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English, German

Tech stack

Artificial Intelligence Data Analysis BigQuery Cloud Computing Cloud Database Continuous Integration Data Architecture Information Engineering Data Governance Data Transformation Data Structures Data Warehousing
+7 more
Database Queries Dimensional Modeling Document-Oriented Databases Claude Code Snowflake Google Bigquery Amazon Redshift

Job description

Home-Office Artificial Intelligence (AI) CI/CD (Continuous Integration/Delivery) Cloud Computing dbt Google BigQuery Monitoring

+5

Your role

  • Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake)
  • Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use
  • Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment
  • Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability
  • Develop and manage semantic layers to standardize and govern key business metrics
  • Improve data accessibility and usability across teams by promoting best practices and clear data structures
  • Document data models, definitions, and workflows to enhance transparency and data literacy
  • Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases

Requirements

  • 3+ years of experience in analytics engineering, data engineering, or a related role
  • Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas)
  • Hands-on experience with modern data stack tools and technologies (e.g., dbt, CI/CD) and openness to AI-assisted development workflows (e.g., Claude Code or similar)
  • Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
  • Strong attention to detail with a quality-focused and structured working style
  • Interest in data governance, standards, and scalable data architecture
  • Analytical mindset with strong problem-solving skills
  • Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts

About the company

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

  • Work from abroad up to 30 calendar days a year
  • Hybrid work and flex-time
  • International team and social events
  • Subsidized urban mobility and access to fitness and wellness options
  • Free access to Langdock and all its amazing functionalities
  • Career & training opportunities
  • Attractive locations and modern offices
  • Mental health support with OpenUp

Job-Infos Berufsfelder Business Analysis Studienfächer Informatik Informationstechnik Wirtschaftsinformatik Abschluss Ausbildung Bachelor Master/Diplom IT-Gehälter Was kann ich verdienen? get in IT hat die Informationen von der Webseite des Unternehmens und ggf. sonstigen Quellen sorgfältig zusammengestellt. Diese Informationen wurden vom Unternehmen noch nicht autorisiert.Informationen für Unternehmen

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