Analytics Engineer (m/f/d)

Arbeitgeber: Statista

## 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