Analytics Engineer (m/f/d)
Statista · Berlin ·
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- ## 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
- ## Your profile
- 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
What we offer
- 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
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