SSC HR Solutions
Riyadh Saudi Arabia
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.