Data Analyst
Summary
A data quality and governance analyst who profiles, validates, and cleanses business datasets (customer, policy, claims, payments), maintains data dictionaries, metadata, and lineage documentation, and builds quality reports and dashboards using SQL, Excel, and Power BI/Tableau at an Ortigas, Metro Manila office.
Salary: ₱60,000 – ₱80,000 per month
About the role
This Data Analyst role focuses on data quality and governance, supporting the organization in maintaining reliable, consistent, and well-documented datasets across business and operational systems. You will perform data profiling, validation, and quality assessments, identify and resolve data anomalies and integrity issues, and collaborate with business units and technical teams to ensure data meets organizational standards and requirements.
Key responsibilities
Perform data profiling, validation, and quality assessments across business and operational systems.
Identify and resolve data anomalies, duplicates, inconsistencies, missing values, and data integrity issues.
Conduct data cleansing, standardization, remediation, and rationalization activities.
Coordinate with business units to define and validate data correction requirements.
Analyze relationships across customer, policy, claims, payment, commission, product, and other business datasets.
Develop and maintain data dictionaries, metadata, business definitions, and data lineage documentation.
Generate data quality reports, dashboards, and actionable insights for management.
Support data preparation for system modernization, migration, and transformation projects.
Assist in preparing AI-ready and analytics-ready datasets.
Collaborate with business and IT teams to understand data requirements, business rules, and data dependencies.
About you
Bachelor's degree in Information Technology, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
At least 3 years of experience in data analysis, data review, data quality, reporting, or analytics.
Hands-on experience in data cleansing, data validation, and data quality improvement.
Experience working with large and complex datasets across multiple business functions.
Strong analytical, problem-solving, and attention-to-detail skills.
Advanced Microsoft Excel.
SQL and database querying.
Power BI, Tableau, or similar data visualization tools.
Data profiling and data analysis tools.
Understanding of data governance and data quality frameworks.