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.
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Turn industry expertise into structured insight – at scale
Statista’s “Market Insights” is one of the world’s most comprehensive data products for market modeling. It spans over 1,000 markets in 150+ countries and supports strategic decisions across industries. At the core of this offering is our ability to produce structured, relevant, and scalable market data – using logical, mathematical, and AI-powered models.
As Team Lead Consumer Market Data, you will lead a team of analysts producing high-value data on consumer goods and retail markets. You will report to the Head of Modelled Data and play a key role in shaping how Statista transforms its understanding of consumer behavior, industry dynamics, and business models into quantitative insight – powering decisions for customers worldwide.

SKILLS

• 1+ years of experience in leading analytical or technical teams
• Over 5 years of experience in the Consumer industry or related fields, bringing deep domain expertise supported by strong knowledge of relevant databases, benchmarking tools, and up-to-date awareness of key industry trends
• Proficient in Python – you can read, understand, and discuss logical models and code with your team
• Solid foundation in math/statistics – and strong conceptual clarity when it comes to modeling logic
• Deep understanding of data – from generation to modeling to customer value, including how to optimize data for LLM/RAG and structured data products
• Strong business acumen – you understand customer jobs-to-be-done, business processes, and how your data supports real-world use cases
• Experience in customer-facing communication – you can explain your data confidently and clearly to demanding stakeholders
• Well-structured, self-organized, and quality-driven – you take pride in delivering reliable results with independence and clarity

Produce Consumer Data

• Take ownership of data production for Consumer Markets – ensuring data volume, quality, and customer relevance
• Guide your team in building robust mathematical, statistical, and logical models using Python and internal tools
• Translate your in-depth understanding of Consumer markets into structured data – capturing dynamics, drivers, regional patterns, and key players in quantitative form

Interact with customers

• Answer high-profile customer questions on data methodology, assumptions, and interpretation
• Join strategic sales pitches and maintain relationships with key customers through regular expert exchanges
• Act as internal expert on consumer industry data needs, aligning your work closely with business, product, and customer-facing stakeholders

Collaborate and lead

• Lead and mentor a team of analysts – building a stable, motivated, and high-performing environment
• Collaborate closely with peers in the Market Data team to standardize modeling logic, improve methodologies, scale Python codebases, and contribute to our market modeling agent
• Contribute to the cross-department Consumer industry team – e.g., through joint editorial reports, aligned data releases, or strategic initiatives like tariff modeling
• Work closely with Data Engineering to improve modeling infrastructure and tooling