Data Quality Analyst

About this role

The role is for a Data Quality Analyst at Moniepoint Incorporated in Lagos. The position focuses on defining, measuring, monitoring, and improving the quality of enterprise data assets and fostering a culture of data accountability across multiple business domains. It reports to the Head of Data Governance and involves collaboration with Data Owners, Stewards, and Data Engineering to ensure data is accurate, complete, timely and fit for purpose. The employer operates a global business payments and banking platform serving over 13 million customers and emphasizes data governance and regulatory compliance.

What you would do

• Define and maintain data quality rules, metrics, and thresholds across priority data domains.
• Profile data and perform root-cause analysis to identify quality issues.
• Create and maintain data quality scorecards and dashboards for leadership and stakeholders.
• Collaborate with Data Owners and Stewards to define acceptance criteria for critical data elements and lead remediation efforts.
• Configure and support data quality tooling and integrate quality checks into ETL/ELT pipelines.
• Maintain documentation such as data quality playbooks, rule libraries, and issue logs.
• Support audits and regulatory reviews with evidence of data quality controls.
• Advance enterprise data governance initiatives including metadata management and data lineage.
• Coordinate with cross-functional teams to uphold data governance standards.
• Mentor junior analysts or lead governance workstreams when needed.

What they are asking for

• Bachelor’s degree in a quantitative field (e.g., Data Management, Computer Science, Information Systems, Statistics) or related discipline.
• At least 5 years experience in data quality, data governance, or advanced data analytics.
• Experience in regulated sectors such as Financial Services, Fintech, Telecommunications, or Insurance.
• Knowledge of data privacy regulations (e.g., NDPR, GDPR) and fintech compliance standards.
• Strong understanding of data governance concepts (ownership, stewardship, lineage, classification).
• Familiarity with modern data architectures (Medallion, Data Mesh, Data Vault 2.0) and governance in distributed environments.
• Experience mentoring junior analysts or leading governance projects.
• Advanced SQL skills and experience with Python for automating data quality checks.
• Experience with enterprise governance/profiling platforms (e.g., Collibra, Microsoft Purview, Solidatus, Informatica DQ, DataHub).
• Proven ability to build data quality dashboards using Power BI, Superset, Grafana, Metabase, or similar tools.

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