
Data Management Specialist
ariika -
New Cairo, CairoJob Details
Experience Needed:
Career Level:
Education Level:
Salary:
Job Categories:
Skills And Tools:
Job Description
- Develop, implement, and maintain robust data management processes to ensure data integrity and accuracy across all business units.
- Oversee data collection, storage, and retrieval systems, ensuring compliance with organizational policies and industry standards.
- Collaborate with cross-functional teams to identify data requirements and optimize data flows for business operations.
- Monitor data quality and perform regular audits to detect and resolve inconsistencies or errors.
- Design and enforce data governance policies, including data privacy, security, and access controls.
- Generate comprehensive reports and dashboards to support decision-making and strategic planning.
- Train and support staff on data management best practices and tools.
- Work closely with IT and product teams to implement new data solutions and improve existing systems.
- Analyze large datasets to identify trends, anomalies, and opportunities for process improvement.
- Stay updated on emerging data management technologies and recommend enhancements to current practices.
Job Requirements
- Minimum of 5 years of experience in data management, data analysis, or a related field.
- Proven expertise in data governance, data quality, and data security best practices.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Experience working in a fast-paced, innovative environment.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Proficiency in data management tools and database systems (e.g., SQL, Excel, data visualization platforms).
- Ability to develop and document data management policies and procedures.
- Demonstrated ability to manage multiple projects and priorities simultaneously.
- Familiarity with industry regulations and compliance standards related to data.
- Strong organizational skills and a proactive approach to identifying and solving data-related issues.












