(Senior) Analyst (m/f/d)

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? Your Role As (Senior) Analyst at Statista R, you will join our international team of data professionals, supporting the analytical backbone of Statista’s ranking at Statista R. Your work will focus on analyzing quantitative data, defining analytical models together with the topic experts and managing data driven ranking projects and products primarily around the education space. Your work will include the collection, validation, and analysis of data that powers our Rankings, Ratings, and Benchmarking projects. Moreover, you will support the development of new, data-driven products. In being the data structure and analytics backbone of the team, you will work closely with different project teams as well as cross divisional teams to improve data handling processes and strategic alignment with departmental goals. Hereby, you always consider new AI capabilities to improve efficiency in the team. Your work will directly support Statista’s mission to make excellence measurable, comparable, and actionable - globally. Your Tasks Support in maintaining and further developing Statista’s rankings and data products, ensuring consistency, accuracy, and scalabilitySupport in building and the internal database structure in alignment with cross-departmental teamsCollaborate on and manage rankings and benchmarking projects - from design over data handling to scoring and results analysisDevelop and document data models and scoring frameworks in alignment with current academic research in cooperation with the analyst teamSupport the team in ensuring data transparency and quality as well as alignment with reporting standards through data structuresSupport in assessing and identifying data needsActively contribute ideas for new data-driven education products and improvement of existing workflows Your Profile Master’s degree (or equivalent) in Economy, Social Science, Data Science or related field3+ years of experience in data analytics or data structures, ideally in a research environmentGood understanding of statistics and statistical modelling e.g. through analytical job experience or research projectsProven skills in Python (or R Studio), including experience in data cleaning, data analysis, and data visualization. SQL is a plus.Experience working with decision makers and delivering actionable, data-driven insightsUnderstanding of AI trends and good knowledge of relevant toolsFluent in English, German or other languages a plusStrong analytical mindset and ability to transform complex data into actionable insightsGood understanding of Microsoft Office Package, in particular very good Excel skills are an advantageWork independently and reliably as well as a resilient and flexible team player 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. Skills: Data