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Design and develop intelligent data solutions, optimizing data pipelines and automation systems to enhance Statista's analytics and AI products.

As a Sales Engineer, you will collaborate with sales to assess customer needs, propose API solutions, support technical onboarding, and troubleshoot issues.

The Data Ops Engineer will design and build data pipelines, develop automated systems for insights delivery, enable AI workflows, and optimize data strategy.

The Product Marketing Manager at Statista will handle go-to-market execution for product launches, create sales materials, and drive adoption through various campaigns while collaborating across teams.

As a Junior Software Developer, you will build AI-driven features, maintain applications, coordinate with teams, and implement automation solutions.

Support the Data Engineering team by extracting data from various sources, conducting research, cleaning data, and building basic ETL pipelines.

As a Data Backend Engineer, you will build and optimize backend systems using Python, PostgreSQL, and AWS, develop APIs, and automate deployments.

Support the User Research team by executing and analyzing surveys, coordinating requests, and managing appointments and payments. Candidates should be studying Psychology, Sociology, or similar fields, and possess knowledge of research methods and tools.

Develop scalable data pipelines and tools for forecasting and data analysis, ensuring high quality and integration within Statista's data architecture.

Prepare and model data using Excel and Python, conduct research on eCommerce and Media Markets, and support in content creation and quality assurance.