Data Quality Analyst

The Data Quality Analyst is a hands‑on analytical role. It is focused on finding, documenting, and validating data quality issues. The role is a strong development path toward Senior Data Quality Analyst, Data Quality Lead, Data Governance Analyst, or Data Analyst roles.

• Hands‑on ability to work with datasets using SQL, Excel, BI tools, or equivalent analysis tools
• Basic working knowledge of data profiling and data validation techniques
• Understanding of common data quality issues such as missing values, invalid values, duplicates, inconsistencies, outdated records, and non‑standard formats
• Basic working knowledge of data quality dimensions such as completeness, validity, consistency, uniqueness, timeliness, accuracy, and conformity
• Ability to compare datasets, prepare samples, identify exceptions, and summarize observations
• Ability to document findings clearly using structured templates, tables, issue logs, and evidence packs
• Basic understanding of business rules, data rules, reference data, and valid value lists
• Working knowledge of Excel functions, filters, pivots, lookups, and data preparation techniques
• Basic SQL capability, including filtering, joins, grouping, counts, duplicates, null checks, and simple validations
• Ability to support report validation, dashboard checking, data extract comparison, and testing support
• Good attention to detail when reviewing data values, formats, counts, and patterns
• Ability to elevate unclear findings and ask the right clarification questions
• Willingness to learn data governance, metadata, data lifecycle, and data management concepts

• Perform data profiling and data analysis using agreed methods and tools
• Identify missing, invalid, duplicate, inconsistent, incomplete, outdated, or non‑standard data
• Prepare data samples, exception lists, issue summaries, and profiling outputs
• Document data quality findings in a clear and structured way
• Support rule documentation, data validation, and evidence preparation
• Maintain issue logs, analysis files, rule trackers, and exception registers
• Support data reconciliation and comparison activities
• Support validation of reports, dashboards, scorecards, and data extracts
• Support testing, retesting, and defect investigation where data evidence is required
  
  Escalate unclear findings, unusual patterns, and potential issue drivers to senior team members
• Support workshops and review sessions by preparing analysis materials
• Contribute to documentation, knowledge transfer, and continuous improvement activities

• 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.
• 2–3 years of experience in data analysis, reporting, data profiling, data quality, business intelligence, data migration, data validation, or data‑related projects.
• Fresh graduates with strong analytical, SQL, Excel, statistics, or data skills may be considered for junior roles.

• DAMA CDMP Associate or Data Management Fundamentals training
• SQL, analytics, BI, or data visualization certification
• Microsoft, Google, AWS, Snowflake, Databricks, or equivalent foundational data certification where relevant
• Informatica Data Quality / IDMC foundational certification where relevant
• Business analysis or analytics foundation certification where relevant