- Analyse complex data sets for valuable business insights
- Collaborate with cross-functional teams to understand data requirements and contribute to data strategy development
- Ensure data quality, reconciliation and integrity through data stewardship practices and governance oversight
- Perform data profiling and validation, resolving discrepancies and anomalies
- Analyse the data life cycle and contribute to data model development and participate in designing data flows for reporting and analytics
- Create and maintain comprehensive documentation for data processes, business glossaries, data dictionaries, and data lineage
- Support implementation and maintenance of data-related tools (ex. Axon) for effective utilization
- Collaborate with IT and business stakeholders to address data-related issues and enhance overall data quality
Requirements
- Bachelor's degree in computer science or relative major
- Minimum experience of 8-10 years, mainly in financial institutions full/partially (minimum 3-4 years in financial industry)
- Arabic speaker is a must
- Rich experience in BI Analytics or ETL development on Data warehousing environments in banking domain
- Banking domain experience
- DAMA certified is a plus
- Familiar with NDMO domains and has hands on implementation
- Proficient in data analysis techniques and tools with a strong analytical mind-set
- Familiarity with data stewardship practices and governance principles
- Experience in data profiling, validation, and discrepancy resolution
- Knowledge of data modelling and ability to contribute to data flow design (data warehouse & Big data)
- Strong documentation skills for maintaining data-related documentation
- Ability to work collaboratively with cross-functional teams and communicate effectively
- Understanding of data-related tools and technologies (ex. Axon)
- Knowledge of data quality best practices with a commitment to ensuring data integrity
- Proactive problem-solving skills for timely resolution of data issues
The most important special requirements needed for this role: Analyse the data life cycle and contribute to data model development and participate in designing data flows for reporting and analytics.
