Geared toward mid-level students in quantitative disciplines comfortable with Python-based data workflows and contributing to AI-driven data production.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Statista via Ashby
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?
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 business 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 business 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 sources
- Assist in collecting, cleaning, and preparing datasets for modeling and analysis
- Help build and maintain Python-based analytical workflows and scripts
- Support analysts in identifying trends, patterns, and key market insights
- Assist in improving data pipelines, methodologies, and documentation
- Contribute 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 skills
- Basic experience with Python (e.g., through coursework, projects, or internships)
- Interest in data, markets, and business dynamics
- Ability to work independently and in a structured way
- Strong written and verbal communication skills (English required, German is a plus)
NICE TO HAVE
- Experience with SQL or databases
- Familiarity with data analysis or visualization tools
- Exposure to statistical methods or market research
- Interest 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 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.
Source: Statista careers (Ashby)