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?

You will join Data Collection, the newest production line within Statista’s Data Production division, and work closely with the Source Identification & Unlocking team. Our team secures the sources that power the collection line by unlocking access through partnerships and contractual agreements. We also run a structured discovery process to identify and qualify the most suitable sources for specific data needs.

As a working student, you’ll support the team in researching potential partners, preparing outreach, and helping manage ongoing collaborations. This role offers a hands-on introduction to strategic data partnerships, giving you insight into how global data flows are negotiated, structured, and brought to life on one of the world’s leading data platforms.

Tasks:

Support the Partner Data Managers in daily tasks
Support business development through market, partner, and lead research
Generate leads and maintain the partnership pipeline
Assist in projects and take ownership of smaller tasks independently
Participate in internal data strategy and team meetings
Prepare presentations, reports, and documentation to support partnerships
Support in the analysis and optimization of existing processes

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