Data Quality Analyst

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Understanding of common data quality issues such as missing values, invalid values, duplicates, inconsistencies, outdated records, and non-standard formats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 escalate 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Identify missing, invalid, duplicate, inconsistent, incomplete, outdated, or non-standard data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

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.

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