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?

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

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.