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Data Quality Analyst
About this role
The role is for a Data Quality Analyst at Moniepoint Incorporated, based in Lagos. It focuses on establishing data accountability across functions, guiding Data Stewards to maintain enterprise-grade data standards for millions of customers. The Senior Data Quality Analyst will define, measure, monitor, and improve the quality of enterprise data assets, working with Data Owners, Stewards, and other teams under the Head of Data Governance. The company regards data as the foundation of its financial operating system and seeks someone to ensure data is accurate, complete, consistent, timely, and fit for purpose.
What you would do
- Partner with Data Owners and Stewards to define acceptance criteria for critical data elements and lead remediation of high-impact data issues
- Configure and support enterprise data quality platforms and integrate quality checks into ETL/ELT pipelines
- Drive enterprise data governance initiatives, including metadata management, data lineage, classification, and policy enforcement
- Implement and maintain data quality rules, metrics, and thresholds across priority data domains
- Develop and maintain data quality scorecards and dashboards to report trends, risks, and health metrics to leadership
- Conduct data profiling and root-cause analysis to identify anomalies and causes of degraded quality
- Maintain data quality playbooks, rule libraries, and issue logs; support audits and regulatory reviews
- Collaborate with Data Engineering to embed quality checks and monitor data quality across systems
- Engage cross-functional teams to promote data accountability and adherence to standards
- Support the overall governance and compliance framework for data assets
What they are asking for
- Bachelor’s degree in a quantitative field (e.g., Data Management, Computer Science, Information Systems, Statistics)
- Strong knowledge of data privacy regulations (NDPR, GDPR) and fintech compliance standards
- Experience with modern data architectures (Medallion, Data Mesh, Data Vault 2.0) and governance in distributed environments
- Experience in regulated sectors (Financial Services, Fintech, Telecommunications, or Insurance)
- 5+ years in data quality, data governance, or advanced data analytics
- Experience mentoring junior analysts or leading governance workstreams
- Advanced SQL skills for querying and profiling large datasets
- Experience building data quality dashboards (Power BI, Apache Superset, Grafana, Metabase, or similar)
- Proficiency in Python/SQL for automating data quality checks and APIs access
- Experience with enterprise governance/profiling platforms (e.g., Collibra, Microsoft Purview, Solidatus, Informatica DQ, DataHub)
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