Head of Data Collection (m/f/d)

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 Mission

You will lead Data Collection — the newest production line within Statista’s Data Production division, alongside Modeled Data, Survey Data, and Researched Data. It is our most scalable and most technical production line: it collects third-party data from publicly available sources and exclusive partnerships, and ingests, structures, and harmonizes it at scale for one of the world’s largest business data platforms.

Your mission: Collect customer-valuable third-party data we can sell at scale — free data that complements and contextualizes our portfolio, and exclusive partner data as a value driver.

Your Role

As Head of Data Collection, you will build and lead a production line structured along the data collection workflow — identify & unlock sources, explore sources, extract & ingest data — with three specialized sub-teams:

• Source Identification & Unlocking — secures the sources that feed the collection line: unlocking access through partnerships and contractual agreements, and running a structured discovery process to identify and qualify the best source for a given data need. Owns the commercial and contractual side of getting to “unlocked” data.

• Source Exploration — brings the domain expertise to understand an unlocked source: what data it offers, its structure and quality, and which fields are worth retrieving. Translates this into production-ready extraction specifications — the bridge between a raw source and scaled extraction.

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