Intern - Data Analytics (f/m/d)
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- Luxemburg
- Praktikum
- Vollzeit
This internship offers hands-on exposure to data quality management, analytics prototyping, and AI exposure while contributing to internal data management and product-related activities. You will work closely with data analysts, data scientists, and data product managers, gaining practical experience across the data lifecycle in a financial services environment.Your Responsibilities
- Support data quality monitoring for internal analytics prototypes and solutions, including basic checks, issue tracking, and contribution to root-cause analysis
- Assist in reviewing existing data products and analyses to identify data inconsistencies, gaps, or improvement opportunities
- Contribute to the assessment of AI or automation opportunities to enhance current data products or analytical processes (e.g. exploratory analysis, documentation, benchmarking)
- Support internal data product activities, including documentation, dataset descriptions, and preparation of materials related to product or offering launch planning
- Help maintain and update basic analytics outputs, reports, or dashboards used for internal prototyping and decision support
- Document findings, assumptions, and observations in a clear and structured way
- Currently pursuing a Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Engineering, Economics, or a related field
- Strong interest in data analysis, analytics products, and data-driven decision-making
- Basic knowledge of SQL and/or Python for data analysis (academic or project experience is sufficient)
- Familiarity with data concepts such as data quality, data preparation, and basic analytics workflows
- Interest in AI, machine learning, or automation, even at a conceptual or introductory level
- Good analytical mindset and attention to detail
- Clear written and verbal communication skills
- Interest in financial services, fund administration, or data-driven products
- Fluency in English
- Exposure to BI tools (e.g. Power BI) through coursework or projects
- First experience with data documentation, dashboards, or analytics prototypes