Data Quality Lead - Analytics & Validation

Maxicare Healthcare Corporation; Philippines; On-site; PHP 700,000 - 1,100,000; Full time

Job summary

Maxicare Healthcare Corporation seeks a Data Quality Lead to implement and maintain data quality standards across enterprise data in a healthcare context.

You will supervise data analysts, define QC rules, monitor KPIs, and collaborate with Data Engineering to automate checks. A strong background in SQL, ETL, Power BI, Python, and Oracle is preferred; healthcare data exposure is a plus.

Qualifications

• 1–3 years of relevant experience in data analytics or data quality, preferably with supervisory exposure.
• Hands-on experience in data profiling, validation, cleansing, reconciliation, and quality monitoring.
• Experience building data quality rules, KPIs, and reporting mechanisms.

Responsibilities

• Lead implementation and maintenance of data quality standards, policies, and controls.
• Establish data quality rules covering accuracy, completeness, and timeliness.
• Supervise data profiling, cleansing, reconciliation, and monitoring across sources.
• Analyze large datasets to identify data quality issues and risks.
• Monitor KPIs, dashboards, and reports; provide actionable recommendations.
• Coordinate root-cause analysis and corrective actions for data quality issues.
• Oversee data reconciliation between source systems and Oracle.
• Collaborate with Data Engineering to automate checks and monitoring.
• Define quality criteria for critical datasets and work with data owners.
• Identify opportunities to improve data processes and reduce manual work.

Skills

Data profiling

Data quality

Root-cause analysis

Team leadership

Tools

SQL

ETL/ELT

Power BI

Python

Oracle

Job description

Maxicare Healthcare Corporation seeks a Data Quality Lead to implement and maintain data quality standards across enterprise data in a healthcare context.

You will supervise data analysts, define QC rules, monitor KPIs, and collaborate with Data Engineering to automate checks. A strong background in SQL, ETL, Power BI, Python, and Oracle is preferred; healthcare data exposure is a plus.