Германия(Senior) Analyst (m/f/d)
1 мес. назад
ГерманияSenior
data analysisanalytical modelingdata validation
Analyze quantitative data and manage data-driven ranking projects and products, primarily in the education space.
Обязанности
- As (Senior) Analyst at R, you will join our international team of data professionals, supporting the analytical backbone of ’s ranking business at 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 ’s mission to make excellence measurable, comparable, and actionable - globally.
Требования
- Master’s degree (or equivalent) in Economy, Social Science, Data Science or related field
- 3+ years of experience in data analytics or data structures, ideally in a research environment
- Good understanding of statistics and statistical modelling e.g. through analytical job experience or research projects
- Proven 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 insights
- Understanding of AI trends and good knowledge of relevant tools
- Fluent in English, German or other languages a plus
- Strong analytical mindset and ability to transform complex data into actionable insights
- Good understanding of Microsoft Office Package, in particular very good Excel skills are an advantage
- Work independently and reliably as well as a resilient and flexible team player
Условия
- In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make 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.
Другое
- At , 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?
- Support in maintaining and further developing ’s rankings and data products, ensuring consistency, accuracy, and scalability
- Support in building and the internal database structure in alignment with cross-departmental teams
- Collaborate on and manage rankings and benchmarking projects - from design over data handling to scoring and results analysis
- Develop and document data models and scoring frameworks in alignment with current academic research in cooperation with the analyst team
- Support the team in ensuring data transparency and quality as well as alignment with reporting standards through data structures
- Support in assessing and identifying data needs
- Actively contribute ideas for new data-driven education products and improvement of existing workflows