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Posted Sep 12, 2026
Hamburg
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Salary (estimate)
Full-time reference: €44,000–€58,000/year
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 As an Analyst in our Education division, you will join an international team of data professionals and become a key contributor to the analytical backbone of our education projects. You will manage ranking projects alongside the data team, develop new rankings and data products, and identify, collect, and analyze the education data that powers our work. As part of an interdisciplinary project team, you will help measure education impact across multiple sectors — directly supporting Statista's mission to make education quality transparent on a global scale.
Your Tasks Work on multi-faceted collaborative projects with international clients and media partners with a focus on the education sector (universities, colleges, EdTech etc.) Support in maintaining and further developing Statista’s education rankings and data products, ensuring consistency, accuracy, and scalability Support in managing ranking projects, ensuring data quality and transparent outcomes. Gradually take on project responsibility and increasingly engage in direct customer contact. Conduct research and analysis of primary and secondary data of education institutions in various countries Planning, implementation, and analysis of international surveys in the education sector Efficient and structured presentation of results in Excel and PowerPoint Actively contribute ideas for new data-driven education products and improvement of existing workflows Your Profile Master’s degree (or equivalent) in Economics, Social Science, or related field preferred; Bachelor's with significant relevant experience considered 1-2 years of experience in data analysis and/or project management, ideally in an education focused research area (e.g. institutional research, strategic planning, education research etc.) or a related research field Initial experience in supporting data-driven insight projects Basic understanding of current education trends and policy landscapes Very good analytical / quantitative skills, a high degree of initiative and a high-quality standard Good understanding of Microsoft 365 (esp. advanced Excel) Experience in programming languages is an advantage (e.g., Python) Fluent in English, German or other languages a plus Highly structured, curious, and motivated to work in an international and cross-functional environment 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. Find more English Speaking Jobs in Germany on Arbeitnow
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536 reviews
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Broad estimate: €44,000–€58,000/year
Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation
Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation
