Senior Data Analyst
Posted Updated 3
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You will create ad hoc analyses, data queries, and reporting logic using SQL and, where needed, Python. You will translate business requirements into data products and analytical solutions, validate linked banking data, and help develop an AI-enabled analytics platform.
Responsibilities
- Create ad hoc analyses, data queries, and reporting logic using SQL and Python
- Translate business requirements into data products, business logic, and analytical solutions
- Act as the interface between business functions and data systems
- Understand complex data models, data flows, and system landscapes
- Ensure banking, trading, customer, settlement, and reporting data are correctly and consistently linked
- Develop the analytics platform and data warehouse
Requirements
- Professional experience as a Data Analyst, Reporting Analyst, BI Analyst, or IT Business Analyst with a data focus
- SQL
- Data modeling
- Semantic models
- Data warehouse structures
- Enterprise data flows
- Experience in the financial industry, ideally banking or securities trading
- Very good German and good English
- Python is advantageous
Benefits
- Flexible working hours
- Home-office work option
- Up to 20 days of work from other EU countries per year
- Sabbatical option
- 30 days of annual leave
- Additional leave on December 24 and December 31
- Employer contribution to occupational pension provision
- Public-transport accessibility
- Employee parking
- Germany Ticket subsidy
- Subsidized company restaurant
- Health promotion
- Holiday childcare for employees' children
- Employee support through pme Familienservice
- Regular employee events