Business Analyst (Data & Analytics / Economics)
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- Luxemburg
- Unbefristet
- Vollzeit
- Maintain and update the database containing macroeconomic and sovereign risk indicators
- Curate, clean, validate, and manage datasets from international institutions, public sources, and licensed providers
- Develop, implement, and maintain SQL queries and database views
- Contribute to improvements in data structures, metadata, and technical documentation
- Automate data ingestion, transformation, validation, and consistency checks using Python and SQL
- Maintain and enhance existing data processing scripts and analytical tools
- Use Excel for ad‑hoc analysis, validation, and data reconciliation
- Maintain and update reports and dashboards
- Develop visualisations primarily using Power BI, as well as Excel
- Optionally contribute using SAP Analytics Cloud, depending on skills and project needs
- Ensure alignment between visual outputs, underlying datasets
- Support initiatives to improve data consistency across all services
- Contribute to the definition and enforcement of common indicators, datasets, and definitions
- Assist in responding to internal data requests and supporting cross‑service coordination
- SQL (relational databases, queries, views)
- Python (data processing, automation, validation)
- Excel (analysis, reconciliation, and validation)
- Power BI (data modelling, reporting, and visualisation)
- University degree in Business, Engineering, Information Science, or a related field
- Proven experience in data analysis within a financial services institution (e.g. investment bank, retail bank, insurance)
- Strong understanding of macroeconomic and financial data, including country‑level indicators and sovereign risk concepts
- Demonstrated experience in data curation and data management
- Advanced working knowledge of SQL, Python, Excel, and Power BI
- Excellent written and spoken English
- Strong analytical thinking, problem‑solving, and data storytelling skills
- Experience with SAP Analytics Cloud, STATA, and/or R
- Familiarity with data quality frameworks and metadata management
- Experience working with international financial institutions, central banks, or similar organisations
- An attractive salary package
- A good work-life balance environment
- The assurance of working in cutting-edge technologies in an entrepreneurial spirit.
- The opportunity to develop your skills thanks to tailor-made training courses according to your needs
- A good job in a friendly place