Working Student Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Working Student Data Analyst (AI): Supporting the development of proprietary data through structured and unstructured data analysis, dataset preparation, and Python-based analytical workflows with an accent on scalable data production and AI-enabled analytics. Focus on cleaning and modeling datasets, improving data pipelines, identifying market insights, and combining analyst expertise with AI-powered production systems.
Location: Hamburg, Germany; hybrid work with flex-time
Company
Global business data platform providing reliable data, analytics products, and services for fact-based decision-making.
What you will do
- Analyze structured and unstructured data from internal and external sources.
- Collect, clean, and prepare datasets for modeling and analysis.
- Build and maintain Python-based analytical workflows and scripts.
- Identify trends, patterns, and market insights with analysts.
- Improve data pipelines, analytical methodologies, and documentation.
- Contribute to projects that make proprietary data production more scalable and efficient.
Requirements
- Enrollment at a university is mandatory.
- Studies in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- Strong analytical thinking and structured problem-solving skills.
- Basic Python experience from coursework, projects, or internships.
- Interest in data, markets, and business dynamics.
- Strong written and verbal English communication skills are required.
Nice to have
- Experience with SQL or databases.
- Familiarity with data analysis or visualization tools.
- Exposure to statistical methods or market research.
- Interest in AI tools such as ChatGPT or Copilot.
- German language skills.
Culture & Benefits
- International, data-driven team working across markets and industries.
- Opportunity to gain hands-on experience with data production, modeling, and AI-enabled workflows.
- Work from abroad for up to 30 calendar days per year.
- Hybrid work, flex-time, international team events, and career development opportunities.
- Subsidized urban mobility, fitness and wellness options, mental health support, and access to Langdock.
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