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Data Quality Analyst

Moniepoint · Lagos, Nigeria

Vor OrtEnglisch

Über die Stelle

Aus der Anzeige des Arbeitgebers · Moniepoint · veröffentlicht am 19. Oktober 2026

Who we are

Moniepoint is an all-in-one digital financial services platform powering businesses across emerging markets. Since 2019, our technology has enabled over one million businesses to thrive through comprehensive payment, banking, credit, and business management solutions. Operating through its subsidiaries—including Moniepoint MFB and TeamApt Ltd—Moniepoint processes the majority of Nigeria's POS transactions, representing over $170 billion in annualised Total Payment Volume (TPV). Recognised as Africa’s second-fastest-growing fintech platform and named the Most Inclusive Payment Platform by the Central Bank of Nigeria (CBN) in 2022, Moniepoint continues to scale its profitable financial ecosystem.

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

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Framework & Metrics Execution: Implement and maintain data quality rules, metrics, and thresholds across priority data domains.

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Profiling & Root-Cause Analysis: Conduct comprehensive data profiling and quality assessments to identify anomalies, structural gaps, and underlying causes of degraded data quality.

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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.

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