About this role
Moniepoint is a fintech platform in Lagos. The Data Quality Analyst will define, measure, monitor, and improve the quality of enterprise data assets, working with data owners, stewards and engineering to ensure data is accurate, complete, timely and fit for purpose. The role focuses on establishing data governance standards and driving data accountability across domains such as Finance and Sales. It reports to the Head of Data Governance. The position supports regulatory compliance and embeds quality checks into data pipelines. It targets candidates with extensive data quality and governance experience in regulated sectors.
What you would do
- Implement and maintain data quality rules, metrics and thresholds across priority data domains.
- Perform data profiling and root-cause analysis to identify anomalies and gaps.
- 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.
- Configure and support data quality platforms and integrate quality checks into ETL/ELT pipelines with Data Engineering.
- Maintain data quality playbooks, rule libraries and issue logs; support audits and regulatory reviews.
- Advance enterprise data governance initiatives including metadata management, lineage, classification and policy enforcement.
What they are asking for
- Bachelor’s degree in a quantitative field (e.g., Data Management, Computer Science, Information Systems, Statistics).
- 5+ years of experience in data quality, data governance or advanced data analytics.
- Experience in regulated sectors (Financial Services, Fintech, Telecommunications or Insurance).
- Knowledge of data privacy regulations (NDPR, GDPR, fintech standards).
- Understanding of core data governance principles (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 workstreams.
- Advanced SQL skills for querying and profiling large datasets.
- Proficiency in Python/SQL for automating data quality checks and data access.
- Experience with governance and profiling tools (e.g., Collibra, Purview, Informatica DQ, DataHub).
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