Statista is a global data platform that empowers businesses to make fact-based decisions through an extensive library of market, company, and consumer statistics covering 60,000 topics from more than 18,000 sources. The company offers professional analytics, trend research, and free daily infographics that highlight key developments in media, technology, economy, and society. With a team of over 1,100 employees across 70+ nations and offices in Hamburg, New York, London, Singapore, Tokyo, Gurugram, North Sydney, and Berlin, Statista blends local expertise with a worldwide perspective. Its user-friendly interface and affordable pricing make high-quality data accessible to a broad audience, from startups to Fortune 500 firms. This combination of breadth, depth, and global reach distinguishes Statista as a leading source of actionable business intelligence.
Open Positions
Product Marketing Manager
4+ years product marketing experience. Strong writing skills, including sales and technical documentation. Data-driven approach and cross-functional teamwork
Data Science Consultant - Statista Healthcare (m/f/d)
Master's degree in Data Science or related field, 4+ years of data analytics experience, and strong skills in Python & SQL. Experience with ETL/ELT and cloud data environments is required
Workplace Manager (m/f/d)
Completed IT studies, understanding of Azure cloud and security. Experience in IT systems development. Strong communication & hands-on approach
Senior Consultant - Healthcare Data & Strategy (m/f/d)
2-3 years exp. in healthcare or consulting. Expertise in KPIs, benchmarking. Strong analytical/presentation skills. Fluent English
IT Workplace Architect (m/f/d)
Completed studies in IT. Understanding of Azure Cloud & authentication. Experience with complex systems development. Fluent German/English (C1)
Working student Modeled Data
Financial/statistical background. Excel proficiency. Programming (Python) knowledge or willingness to learn. Independent team player
Automation Engineer - AI Insights (m/f/d)
Experience with DataOps and backend development. Proficiency in Python & SQL is needed. Familiarity with API development and cloud platforms are highly desired
Sales Engineer (API Solutions)
API understanding is key. Tech sales background is needed. Strong communication and debugging skills are also important
Data Ops Engineer - Insights Automation (m/f/d)
Experience with Data Engineering/Ops, Python/SQL, and API development is required. Understanding of containerization and IaC is also necessary
Digital Workplace Manager (m/f/d)
Completed studies or equivalent IT training, Azure Cloud & security knowledge, IT system architecture experience, and strong communication skills
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