Job Description

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?

Your job

You will join the Quality team to help monitor the department’s data quality by maintaining and enhancing validation scripts, and by defining and developing new quality measures together with our Quality Engineers and Quality Managers. You will support LLM-based analyses by preparing inputs and validating outputs, as well as conducting different quality assurance rounds. You will monitor data flows by generating summary statistics, detecting anomalies (e.g., missing values, column mismatches), documenting and presenting your findings in our team, as well as to stakeholders. In close collaboration with Quality Engineers, you will contribute to refactoring and maintenance by improving code readability, adding logging, and handling edge cases in existing Python scripts. You will support documentation efforts by writing or updating internal pages, READMEs, and guides that explain validation rules and data quality measures for our stakeholders.

Your skills

Ongoing studies in Economics, Data Science, or Data Engineering, or a comparable field. Fluent in English for verbal and written communication. Proficient in MS Office, especially Excel. You have good knowledge of Python (e.g., pandas, numpy) and SQL (basic queries, incl. SELECT, JOIN). Experience with prompt engineering, VS Code, Git, GitHub, AWS is a plus. You are attentive to details, enjoy the topic of data quality and can passionately spread the need for data quality across other teams. You are curious about new tech developments (including AI) and strive to adopt effective tools and approaches. You have strong problem-solving skills, take ownership, and can work independently as well as collaboratively. Available for 20 hours/week with flexible working hours; preferably based in Hamburg.

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 Perplexity Enterprise 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.