Analytics Engineer (m/f/d)
Statista · Hamburg or Berlin
What this role requires
3 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: BigQuery, Redshift, CI/CD, English (B2), German. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
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Job description
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)
Read the full description (28 more sections)Show less
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.
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