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, 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 Team

In our Editorial Research Intelligence Department, approximately 300 researchers work on the statistics and topic pages for our different national platforms. Each day, while focusing on their specific fields, our experts research and prepare new data from the world's most significant sources for our platforms: https://www.statista.com/.

• Support in the automation of internal data processing steps with Python (and/or R)
• Develop, maintain, and improve ETL processes
• Identifying optimization and automation potentials within Statista's content management processes
• Structure and verify data quality
• Build data-based tools and solutions to improve efficiency in Statista's content management processes
• Conception and implementation of solutions for the processing of structured and unstructured data from a variety of sources in Python (and/or R)

• Successfully completed studies in the fields of data science, computer science, economics and social sciences with quantitative focus or a comparable field
• Professional experience in data engineering and/or process automation is a plus
• Profound knowledge of Python (and/or R)
• Experience in Docker, Airflow or the AWS ecosystem is a plus
• Interested in developments of the current LLM landscape
• Very good knowledge of spoken and written English
• Basic understanding of version control and collaboration in Github
• Ability to describe complicated issues concisely and understandably for different stakeholders
• Structured, organized, and independent working style with an emphasis on quality, detail, and accuracy
• High-quality standards for your own work

• Work from abroad 7 days a year

• Hybrid work and flex-time

• International team and social events

• Career & training opportunities

• Attractive locations and modern offices

• Mental health support by Fürstenberg Institute