Senior Data Quality Analyst

Job De ion Required Skills & Competencies

• Advanced hands‑on experience with SQL, data querying, data profiling, and data analysis
• Strong practical understanding of data quality dimensions and how they appear in real datasets
• Hands‑on experience analyzing structured datasets across databases, spreadsheets, reporting extracts, data warehouses, or data lakes
• Working knowledge of data validation, reconciliation, exception analysis, duplicate detection, pattern analysis, and data sampling techniques
• Ability to interpret business rules and convert them into testable data conditions, validation logic, and expected outcomes
• Ability to investigate data anomalies using data evidence, business context, system behavior, and process knowledge
• Strong experience preparing data samples, issue evidence, exception lists, analytical summaries, and stakeholder‑ready findings
• Working knowledge of BI tools, reporting tools, profiling tools, data quality tools, or data catalog tools
• Good understanding of source systems, transformations, data pipelines, reporting layers, and how data movement can affect quality
• Ability to review analyst outputs and identify gaps in logic, evidence, completeness, or clarity
• Strong Excel and data manipulation capability
• Ability to explain technical data findings to non‑technical business stakeholders
• Good understanding of data governance, metadata, ownership, and stewardship concepts
• Strong documentation skills for rule analysis, issue evidence, data observations, and validation results

• Perform advanced data profiling and data quality analysis
• Analyze data issues across completeness, validity, consistency, uniqueness, integrity, accuracy, timeliness, and conformity
• Investigate data anomalies, trends, outliers, exceptions, and recurring issue patterns
• Interpret data quality issues using business process, system, and reporting context
• Examine source data, transformation logic, business rules, and process behavior to understand issue drivers
• Prepare analytical evidence, data samples, exception lists, and issue summaries
• Support the definition and refinement of data quality rules, thresholds, and validation logic
• Validate data quality dashboards, scorecards, reports, and exception outputs
• Review outputs prepared by Data Quality Analysts for accuracy, completeness, and clarity
• Support business discussions by explaining findings in practical, non‑technical language
• Maintain data quality analysis documentation, issue registers, rule documentation, and evidence packs
• Support testing, retesting, and defect investigation where data validation is required
• Identify recurring issue patterns and recommend practical improvement opportunities
• Support knowledge transfer and capability building for junior analysts and client teams

The Senior Data Quality Analyst is a hands‑on expert role. The role requires depth in SQL analysis, data profiling, validation, business curiosity, and the ability to move from raw data issues to clear, evidenced, and actionable findings.

• Bachelor's degree in Information Systems, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, Management Information Systems, or a related discipline.
• Arabic and English are mandatory.
• 4–7+ years of experience in data quality analysis, data profiling, SQL analysis, reporting analysis, data reconciliation, data migration, data integration, data governance, or business data analysis.
• Experience working with complex datasets, business rules, exception analysis, reporting outputs, data validation, and technical/business stakeholders is preferred.

• DAMA CDMP Associate or Practitioner
• Informatica Data Quality / IDMC certification where relevant
• Microsoft, AWS, Google Cloud, Snowflake, Databricks, or equivalent data platform certification where relevant
• SQL, analytics, BI, or data engineering certification where relevant
• Business analysis or analytics certification where relevant