The role is focused on analyzing and adapting credit data storage systems to meet changing business needs while ensuring efficient operation through proper housekeeping practices. The analyst will facilitate requirement gathering, problem breakdown, and provide solutions based on data engineering principles.
- Gather and validate requirements through workshops and interviews.
- Break down complex data issues and identify dependencies and constraints.
- Work on data engineering tasks including data mapping, mining, modeling, and warehousing.
- Propose solutions and visualize changes using ERDs and other data visualization tools.
- Implement best practices in data governance and architecture.
- Expert SQL skills.
- Senior-level ETL experience.
- English proficiency at B2 level or higher.
- Intermediate UML skills, focusing on ERD and sequence diagrams.
- Basic BPMN knowledge.
- Familiarity with agile methodologies.
- Experience in data governance frameworks.
- Knowledge of best practices in data warehousing.