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Data Quality Analyst

Moniepoint Inc. • Lagos
Posted: 19 October 2026Deadline: 2 November 2026
Full-timeAudit & ComplianceFintechSouth WestLagos

📋 Requirements

  • •Experience & Background

📝 Description

  • •About this role
  • •At Moniepoint, data serves as the foundation of our financial operating system.
  • •The Senior Data Quality Analyst will define, measure, monitor, and elevate the quality of enterprise data assets.
  • •Reporting directly to the Head of Data Governance, 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 to establish unified, enterprise-grade data management standards that protect and optimise data for over 13 million customers.
  • •Responsibilities
  • •Framework & Metrics Execution: Implement and maintain data quality rules, metrics, and thresholds across priority data domains.
  • •Profiling & Root-Cause Analysis: Conduct comprehensive data profiling and quality assessments to identify anomalies, structural gaps, and underlying causes of degraded data quality.
  • •Reporting & Governance Dashboards: Develop and maintain data quality scorecards and operational dashboards to report trends, risks, and health metrics to executive leadership and key stakeholders.
  • •Standards & Remediation Collaboration: 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.
  • •Tooling & Architecture Integration: Configure and support enterprise data quality platforms e.g., catalog integrations, automated monitoring and collaborate with Data Engineering to embed quality checks directly into ETL/ELT pipelines.
  • •Documentation & Compliance: 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.
  • •Governance Advancement: Drive broader enterprise data governance initiatives, including metadata management, data lineage, data classification, and policy enforcement.
  • •Experience & Background
  • •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.
  • •Skills & Competencies:
  • •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.
  • •Practical experience with enterprise data governance and profiling platforms e.g., Collibra, Microsoft Purview, Solidatus, Informatica DQ, DataHub.
  • •Proven track record building data quality dashboards using tools such as Power BI, Apache Superset, Grafana, Metabase, or TIBCO.
  • •Exceptional stakeholder management skills with a demonstrated ability to translate complex technical findings into actionable business insights.
  • •What success looks like in this role
  • •Data quality frameworks, metrics, and thresholds are successfully implemented and maintained across all priority data domains.
  • •Data quality scorecards and operational dashboards provide executive leadership and key stakeholders with clear, actionable insights into data health and risks.
  • •A strong culture of data accountability is established across cross-functional domains, empowering Data Stewards to uphold unified management standards.
  • •High-impact data issues are effectively remediated, and robust quality controls are seamlessly embedded into ETL/ELT pipelines.
  • •What we can offer you
  • •Culture -We put our people first and prioritise the well-being of every team member.
  • •We’ve built a company where all opinions carry weight and where all voices are heard.
  • •We value and respect each other and always look out for one another.
  • •Above all, we are human.
  • •Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
  • •Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
  • •What to expect in the hiring process
  • •A preliminary phone call with the recruiter
  • •A technical interview with the Hiring Manager
  • •A behavioural and technical interview