Data Quality Analyst at Moniepoint Inc.

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 with a member of the Executive team.