Data Quality Analyst

Lagos, Nigeria · Moniepoint Headquaters · 5+ years experience · Posted Oct 19, 2026

At a glance

At Moniepoint, data serves as the foundation of our financial operating system, and the Senior Data Quality Analyst will define, measure, monitor, and elevate the quality of enterprise data assets.
This role collaborates with Data Owners, Data Stewards, Data Engineering, and cross-functional business units to ensure data remains accurate, complete, consistent, timely, and fit for purpose.
Beyond managing technical frameworks, this position acts as a cultural catalyst for data accountability—guiding a cross-functional network of Data Stewards across domains such as Finance and Sales.

Implement and maintain data quality rules, metrics, and thresholds across priority data domains.
Conduct comprehensive data profiling and quality assessments to identify anomalies, structural gaps, and underlying causes of degraded data quality.
Develop and maintain data quality scorecards and operational dashboards to report trends, risks, and health metrics to executive leadership and key stakeholders.
Partner with Data Owners and Stewards to define acceptance criteria for critical data elements (CDEs) and lead remediation initiatives for high-impact or recurring data issues.
Configure and support enterprise data quality platforms and collaborate with Data Engineering to embed quality checks directly into ETL/ELT pipelines.
Maintain data quality playbooks, rule libraries, and issue logs.
Support internal/external audits and regulatory compliance reviews by presenting evidence of robust data quality controls.
Drive broader enterprise data governance initiatives, including metadata management, data lineage, data classification, and policy enforcement.

Bachelor’s degree in Data Management, Computer Science, Information Systems, Statistics, or a related quantitative field.
5+ years of experience in data quality, data governance, or advanced data analytics.
Prior experience within regulated sectors, specifically Financial Services, Fintech, Telecommunications, or Insurance.
Strong working knowledge of data privacy regulations, including NDPR, GDPR, and fintech compliance standards.
Solid foundation in core data governance principles, including data ownership, stewardship models, lineage, and data classification.
Deep familiarity with modern data architectures (Medallion, Data Mesh, Data Vault 2.0) and implementing governance within distributed environments.
Experience mentoring junior analysts or leading discrete governance workstreams.
Advanced SQL skills with extensive experience querying, profiling, and analysing complex, large-scale datasets.
High proficiency in Python/SQL for automating data quality checks, accessing APIs, and querying data platforms directly.