Analytics Engineer (m/f/d)

The role

You will design, build, and optimize scalable data models using modern data stack tools. You will transform raw data into clean datasets and collaborate with data engineers, analysts, and business stakeholders.

What you will do

• Design, build, and optimize scalable data models using modern data stack tools
• Transform raw data into clean, reliable, and well-documented datasets
• Collaborate with data engineers, analysts, tracking teams, and business stakeholders
• Implement and maintain data quality checks, testing, and monitoring
• Develop and manage semantic layers to standardize and govern key business metrics
• Improve data accessibility and usability across teams
• Document data models, definitions, and workflows
• Contribute to data governance, harmonization, and automation initiatives

Required qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related role
• Strong SQL skills
• 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)
• 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

Nice to have

• German is a plus

Benefits

• 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

About the company

Statista is the world's leading business data platform. Founded in Hamburg in 2007, it is a global company with offices in major cities.