REQUIREMENTS

• Completed (Bachelor’s / Master’s) studies in economics, social or natural sciences, or a related discipline
• First practical work experience, e.g., as an analyst with experience in project work or (partial) project management at a university institute
• Interest in market modeling concepts in the world of technology, as well as a basic understanding of the process and methods of research projects
• Very good analytical as well as problem structuring skills and a fast comprehension ability
• Ability to conduct basic mathematical calculations and familiarity with statistical methods with the support of existing Excel / Python tools
• Knowledge of basic programming (preferably Python), or the willingness to learn it, is a plus
• Independent, reliable team player with very good written and spoken English skills, and knowledge of additional languages is a plus

ABOUT US

At Statista, we’re all about facts and data, that’s why 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.
At Statista 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?

• Ongoing monitoring of technology markets (e.g., Communication Services or Internet of Things) regarding trends, dynamics, and changes, as well as deriving the impact on the market and relevant companies
• Quantitative modeling and forecasting of global technology market developments with Excel and Python-based models
• Interpret data and extract quantitative implications from qualitative observations for the markets you oversee (e.g., the influence of the Russia-Ukraine war, corporate digital transformation, or the influence of new cloud computing technologies on various markets)
• Create independent analyses, reports, and additional product offers for clients to gain an in-depth understanding of your markets
• Structured, appealing, and high-quality preparation of research and analysis results in PowerPoint, Excel. Knowledge of Python would be beneficial
• Clear, targeted communication with internal and external relevant stakeholders (e.g., team, sales, marketing, IT) throughout the projects