Data Management Analyst
Aramco
Job Overview
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Job Description
Job Overview
The Data Management Analyst position at Aramco requires full relocation to Saudi Arabia. This permanent, full-time role is within the Reliability & Asset Management Division, focusing on managing data quality, compliance, and governance for high voltage assets operated by Power Systems.
Key Responsibilities
- Perform data stewardship including compliance with National Data regulations such as NDMO and PDPL.
- Implement and enforce corporate data governance policies and standards.
- Monitor and manage data quality issues with stakeholder collaboration.
- Trace data lineage and assign appropriate classifications based on sensitivity.
- Define user access levels and ensure data retention policies.
- Support business value use cases in data analytics, AI, and ML while upholding ethical standards.
- Engage with the Corporate Data Office, IT, and business stakeholders to enhance data processes.
- Assist in privacy compliance and perform Privacy Impact Assessments (PIAs).
Minimum Requirements
A bachelor’s degree in Computer & Information Systems, Computer Engineering, Management Information Systems or related discipline is required, with a minimum of 3 years of experience in data management. Certifications like CDPM or Data Steward are a plus. Effective communication and technical report writing skills in English are essential.
Working Environment
At Aramco, you will work on world-scale projects, enjoy extensive professional growth opportunities, and benefit from a long history of workforce training and development. As one of the world’s most profitable and largest energy companies, Aramco offers significant societal and economic impact.
Key Skills/Competency
- Data management
- Compliance
- Data quality
- Governance
- Analytics
- AI/ML
- Reporting
- Stewardship
- Privacy
- Collaboration
How to Get Hired at Aramco
- Research Aramco's culture: Study their mission, values, and projects.
- Tailor your resume: Highlight data management and compliance skills.
- Prepare examples: Demonstrate data quality improvement initiatives.
- Practice technical communication: Emphasize report writing and analytical skills.
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