Analytics Engineer (m/f/d)

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

• 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

• 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