Consultant - Data Quality Analysis

Overview

This role involves executing data quality analysis tasks using various tools to ensure data integrity and reliability. The Consultant will engage in profiling datasets, identifying data errors, and documenting findings clearly while collaborating with multiple teams to support data governance and management initiatives.

Key Responsibilities

• Execute data profiling and analytic tasks using prescribed methodologies and tools.
• Detect and report missing, invalid, duplicate, inconsistent, incomplete, outdated, or non-standard data entries.
• Prepare samples, exception reports, and comprehensive summaries of data quality findings.
• Maintain clear documentation including issue logs, analysis files, rule trackers, and exception registers.
• Assist in rule documentation, data validation, and compiling evidence for assessments.
• Support reconciliation and comparison of data extracts, reports, dashboards, and scorecards.
• Aid testing phases including retesting and defect research when data evidence is required.
• Escalate ambiguous findings or unusual data patterns to senior analysts.
• Participate in workshops and review meetings by preparing analytical materials.
• Contribute to continuous improvement, documentation, and knowledge transfer activities.

Required Qualifications and Experience

• Bachelor’s degree in Information Systems, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, MIS, or similar fields.
• Minimum 2 to 3 years’ experience in data analysis, reporting, profiling, data quality, BI, data migration, or validation-related projects.
• Open consideration for fresh graduates with strong analytical skills in SQL, Excel, or statistics for junior roles.
• Fluency in Arabic and English is mandatory.

Essential Knowledge and Skills

• Practical experience with datasets using SQL, Excel, BI tools, or similar analysis platforms.
• Familiarity with data profiling and validation methodologies.
• Understanding common data quality problems such as missing or invalid data, duplicates, inconsistencies, outdated or non-standard formats.
• Basic knowledge of data quality dimensions like completeness, validity, consistency, uniqueness, timeliness, accuracy, and conformity.
• Capability to compare datasets, identify anomalies, prepare sample data, and summarize observations.
• Proficiency in documenting findings with structured templates, issue logs, tables, and evidence collections.
• Fundamental understanding of business and data rules, reference data, and valid value sets.
• Advanced skills in Excel including functions, filters, pivot tables, lookups, and data preparation techniques.
• Basic SQL skills including filtering, joining tables, grouping, counting, detecting duplicates, null-checking, and conducting simple validations.
• Attention to detail when inspecting data formats, values, counts, and patterns.
• Ability to escalate unclear findings and pose effective clarification questions.
• A willingness to learn about data governance, metadata, data lifecycle, and data management principles.

Desired Certifications

• DAMA Certified Data Management Professional (CDMP) Associate or related data management fundamentals training.
• Certifications in SQL, analytics, BI, or data visualization.
• Fundamental certifications from Microsoft, Google, AWS, Snowflake, Databricks or equivalents related to data.
• Certificates in Informatica Data Quality or IDMC if relevant.
• Business analysis or analytics foundational certifications as applicable.

Behavioral Traits

• Highly detail-oriented with a curious and analytical mindset.
• Organized, dependable, and disciplined in documentation and follow-up.
• Comfortable working with imperfect or incomplete data.
• Collaborative with senior analysts, business users, and technical teams.
• Eager to learn and grow in the data quality domain.

Collaborations

This role interfaces externally with client business users, data stewards, reporting users, technology, and data teams, and participates in data quality working groups. Internally, collaboration occurs with Data Quality Leads, Senior Analysts, Data Governance personnel, DataOps specialists, data engineers, business analysts, and project managers.

About Malomatia

Malomatia is a premier IT services and solutions company based in Qatar, combining local and international talent to deliver advanced, comprehensive technology solutions that drive client success. Established in 2008, Malomatia leads Qatar’s digital transformation efforts across public and private sectors, focusing on cloud, cybersecurity, artificial intelligence, and contact center innovations.

The company’s mission is to enable Qatari businesses and governments to advance digitally with agile, knowledge-driven answers. Their vision is to be Qatar’s trusted partner in digital transformation by pioneering industry change and building a world-class technology ecosystem.

Malomatia values ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation, aiming to inspire clients to excel digitally and build a smarter society.