Brand Data Production Manager (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?

01Your role

As Brand Data Production Manager, you are the driving force behind Statista’s brand-related data portfolio. You own the brand data Type as a data product, with decision-making authority over what brand data to produce, develop, maintain, or retire, set priorities and quality bar that guide the teams who build and run the data pipelines.

• Own the end-to-end lifecycle of brand data domains- including brand market shares, consumer awareness, brand perception, and loyalty metrics- defining the strategic direction, target users, and value proposition and serving as the central point of contact for what brand data should cover and why.

• Translate market trends, customer needs and use cases into clear coverage priorities and requirements, turning signals from Revenue, Quality, platform and API usage, customer feedback, and industry developments into a prioritized brand data roadmap.

• Identify data coverage gaps and define pragmatic solutions evaluating potential data sources, proxy data strategies, and methodology trade-offs to close critical gaps, weighing relevance against feasibility in collaboration with production teams.

• Define and track business-facing KPIs such as coverage of priority brands, data quality, and customer impact; establish and maintain quality gates, data governance standards, and escalation processes across the production pipeline, working with the Quality team to drive continuous improvement.

• Review and challenge trade-offs proposed by production and engineering teams (e.g. coverage vs. speed, automation vs. accuracy) from a relevance and customer-value perspective, while production line owners retain responsibility for how data is produced.

• Coordinate cross-functionally with Data Engineering, Content, Product, and commercial stakeholders to resolve dependencies and keep priorities aligned across the organization.

02Your Profile

• Strong background in data product management, data operations, market/brand strategy, or business analytics, with the judgment to decide what data matters most and why and a track record of owning and driving a data domain or product area. Degree in a related field and/or equivalent practical experience.

• Solid understanding of data concepts and statistical reasoning, paired with a strong customer-focused business mindset and an understanding of how data creates value for users.

• Comfortable setting direction while depending on others for execution; you lead through clarity, prioritization, and evidence rather than direct control of delivery.

• Strong collaboration and stakeholder management skills, experienced in translating complex business needs into actionable specifications for technical teams and briefing production teams around clear, well-justified priorities. Clear, confident communicator in English who excels at data storytelling and explains complex topics clearly.

• A structured, pragmatic, and curious way of working, with an ownership mindset and the ability to stay calm and decisive under pressure.

• Proficiency in Excel required; SQL and BI tools (Power BI, Tableau, Looker) and project tools (Jira, Confluence) are a plus. Experience with market research or API-sourced data, Python, or cloud data platforms is an additional advantage.

03What 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.

Find Jobs in Germany on Arbeitnow