Senior Data Quality
2 months ago
The Role
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.
**Requirements**:
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.
About the company
Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the telecoms, utilities, oil and gas, hospitality and real estate among other market sectors. We help our clients streamline their operations and businesses through our portfolio of solutions, managed services, and consultancy practice. Our team of 1000 professionals are spread throughout the region with anchor offices in Cairo, Riyadh, Dubai, Doha, Nairobi, Dar-es-Salaam, Abuja, Kampala and New Jersey, allowing us to service an ever-increasing client base in over 40 countries.
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