Senior Data Quality

at  Giza Systems EG

JOB DESCRIPTION

• Lead the development and implementation of comprehensive data quality strategies and standards.
• Conduct in-depth data quality assessments to identify, analyze, and resolve data quality issues.
• Design and oversee data cleansing, enrichment, and validation processes to ensure high data integrity.
• Develop and manage data quality metrics, dashboards, and reports to track and communicate performance.
• Collaborate with cross-functional teams to establish data quality requirements and ensure alignment with business needs.
• Implement data quality tools and technologies to automate and streamline data quality processes.
• Provide guidance and support to junior data quality team members and other stakeholders on best practices.
• Perform root cause analysis and lead efforts to address and resolve complex data quality issues.
• Ensure adherence to data governance policies and standards to maintain data accuracy and consistency.
• Stay abreast of industry trends and advancements in data quality management to drive continuous improvement.

PERSONAL SKILLS

• Strong communication, interpersonal, and presentation skills.
• Ability to multi-task and work under pressure.
• Excellent command of English.
• Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.

TECHNICAL SKILLS

• Data Quality Management: Advanced expertise in developing and implementing data quality strategies and frameworks.
• Data Analysis: Strong analytical skills for assessing data quality and resolving complex issues.
• Data Cleansing and Validation: Proficiency in designing and executing data cleansing, enrichment, and validation processes.
• Metrics and Reporting: Experience in creating and managing data quality metrics, dashboards, and performance reports.
• SQL and Data Querying: Advanced SQL skills for querying, analyzing, and ensuring data quality.
• Data Quality Tools: Knowledge of data quality management tools and technologies.
• Collaboration: Ability to work effectively with cross-functional teams and stakeholders to address data quality needs.
• Problem-Solving: Strong problem-solving skills for diagnosing and resolving data quality issues.
• Data Governance: Familiarity with data governance policies and standards to ensure compliance and consistency.
• Industry Trends: Awareness of current trends and advancements in data quality management for continuous improvement.

Please refer the Job description for details