Data Quality Expert

Job description / Role

Job Description
- Develop and implement data quality frameworks and standards to ensure the accuracy, completeness, and reliability of data.
- Conduct data quality assessments and audits to identify and resolve data quality issues and discrepancies.
- Collaborate with stakeholders to define data quality requirements and create data quality metrics and KPIs.
- Design and execute data cleansing and data enrichment processes to improve data quality.
- Develop and maintain data quality dashboards and reports to monitor and communicate data quality performance.
- Implement data validation and data integrity checks across data sources and systems.
- Work with data governance teams to enforce data quality standards and policies.
- Provide training and support to teams on data quality best practices and tools.
- Investigate and resolve data quality issues, including root cause analysis and corrective actions.
- Stay updated with industry trends and advancements in data quality management to drive continuous improvement.

Personal Skills
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.

Technical Skills
- Data Quality Frameworks: Expertise in developing and implementing data quality frameworks and standards.
- Data Analysis: Strong analytical skills for assessing data quality and identifying issues.
- Data Cleansing: Proficiency in designing and executing data cleansing and enrichment processes.
- Data Validation: Experience with data validation techniques and tools to ensure data integrity.
- SQL and Data Querying: Advanced skills in SQL for querying and analyzing data quality.
- Data Quality Tools: Familiarity with data quality management tools and software.
- Metrics and KPIs: Ability to develop and track data quality metrics and key performance indicators (KPIs).
- Collaboration: Strong interpersonal skills for working with cross-functional teams and stakeholders.
- Problem-Solving: Effective problem-solving skills for diagnosing and resolving data quality issues.
- Industry Trends: Knowledge of current trends and advancements in data quality management and best practices.

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.