- 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.
- 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.