Working Student Modeled Data

e world's leading 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? Our Mission As AI rapidly transforms how information is created and consumed, high-quality proprietary data is becoming the critical ingredient for generating trustworthy insights and enabling better decisions. Models become more powerful as the quality of the underlying data improves. The mission of the Modeled Data department is to develop high-quality proprietary data at scale, empowering our customers to make better decisions with confidence. To achieve this, we are building the next generation of proprietary data production: a standardized, AI-enabled production system that combines artificial intelligence and human expertise to deliver scalable, transparent, and high-quality outputs. We believe the future is not AI instead of analysts, but AI together with analysts. AI excels at automating repetitive work, scaling production, and accelerating execution, while analysts contribute structured problem solving, statistical reasoning, domain expertise, and critical judgment. Together, they create outcomes that neither could achieve alone. Our analysts therefore have a dual mission: they continuously deepen their expertise in domains and statistical modeling while simultaneously helping build and improve the AI-powered production platform that will define the future of proprietary data. Your Role As a Working Student, you will support our analysts in building and maintaining proprietary data and contribute to improving our analytical workflows and production systems. Your responsibilities Support the analysis of structured and unstructured data from internal and external sourcesAssist in collecting, cleaning, and preparing datasets for modeling and analysisHelp build and maintain Python-based analytical workflows and scriptsSupport analysts in identifying trends, patterns, and key market insightsAssist in improving data pipelines, methodologies, and documentationContribute to ongoing projects that aim to make our data production more scalable and efficient Your Profile Enrolled student at a university (mandatory)Field of study in Data Science, Statistics, Computer Science, Economics, or a related quantitative discipline (preferred)Strong analytical thinking and structured problem-solving skillsBasic experience with Python (e.g., through coursework, projects, or internships)Interest in data, markets, and dynamicsAbility to work independently and in a structured wayStrong written and verbal communication skills (English required, German is a plus) Nice to have Experience with SQL or databasesFamiliarity with data analysis or visualization toolsExposure to statistical methods or market researchInterest in AI tools (e.g., ChatGPT, Copilot) Your Team You will be part of an international, data-driven team working on analytical projects across different markets and industries. You will support real modeling and data production work while gaining hands-on experience with data, tools, and methodologies. This role offers the opportunity to learn how proprietary data is built at scale and how analytical workflows can be combined with AI to create scalable data products. 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 to work! Join us and benefit from: Work from abroad up to 30 calendar days a yearHybrid work and flex-timeInternational team and social eventsSubsidized urban mobility and access to fitness and wellness optionsFree access to Langdock and all its amazing functionalitiesCareer & training opportunitiesAttractive locations and modern officesMental health support with OpenUp Some of the benefits listed here apply only to the German entity and to Junior-level roles or above. Find Jobs in Germany on Arbeitnow Skills: Working students / Interns / Trainees