Data Analyst L3

SID Global Solutions; Eastern Manila District; On-site; PHP 420,000 - 750,000; Full time

Job summary

SID Global Solutions is seeking a Data Analyst to support data quality, governance, and readiness initiatives across multiple systems. You will analyze, cleanse, organize, and validate enterprise data to enhance accuracy and usability for operations, AI initiatives, and analytics.

The role requires 3+ years in data analysis, strong Excel, SQL, and BI tool skills, and experience with large datasets. You will collaborate with business and IT teams, delivering quality data and actionable insights.

Qualifications

• Bachelor's degree in IT, CS, IS, statistics, mathematics, engineering, business analytics, or related field.
• Minimum 3 years of experience in data analysis, data review, data quality, reporting, or analytics functions.
• Experience in data cleansing, data validation, and data quality improvement activities.
• Experience with large and complex datasets across multiple business functions.
• Proficiency in Excel, SQL, and BI tools (Power BI/Tableau).

Responsibilities

• Conduct data profiling, validation, and quality assessments across business and operational systems.
• Identify data anomalies, duplicates, inconsistencies, missing values, and data integrity issues.
• Execute data cleansing, standardization, and rationalization activities.
• Support business units in defining and validating data correction requirements.
• Analyze data relationships across customers, policies, claims, payments, commissions, products, and other business domains.
• Develop and maintain data dictionaries, metadata, business definitions, and data lineage documentation.
• Produce data quality reports, dashboards, and management insights.
• Support data preparation activities for system modernization, migration, and transformation initiatives.
• Assist in establishing AI-ready and analytics-ready datasets.
• Work closely with business and IT teams to understand data requirements and business rules.

Skills

Advanced Excel

Data governance knowledge

Data analysis

Data quality improvement

Data profiling

Education

Bachelor's Degree in Information Technology, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field

Tools

SQL

Power BI

Tableau

Excel

Data profiling tools

Job description

About the role

The Data Analyst will support Insure's data quality, data governance, and data readiness initiatives by analyzing, cleansing, organizing, and validating business data across multiple systems and domains. The role will focus on improving the accuracy, consistency, and usability of enterprise data to support operational efficiency, future AI initiatives, advanced analytics, system modernization programs, and business decision-making.

Key responsibilities

• Conduct data profiling, validation, and quality assessments across business and operational systems.
• Identify data anomalies, duplicates, inconsistencies, missing values, and data integrity issues.
• Execute data cleansing, standardization, and rationalization activities.
• Support business units in defining and validating data correction requirements.
• Analyze data relationships across customers, policies, claims, payments, commissions, products, and other business domains.
• Develop and maintain data dictionaries, metadata, business definitions, and data lineage documentation.
• Produce data quality reports, dashboards, and management insights.
• Support data preparation activities for system modernization, migration, and transformation initiatives.
• Assist in establishing AI-ready and analytics-ready datasets.
• Work closely with business and IT teams to understand data requirements and business rules.

About you

• Bachelor's Degree in Information Technology, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
• Minimum 3 years of experience in data analysis, data review, data quality, reporting, or analytics functions.
• Demonstrated experience in data cleansing, data validation, and data quality improvement activities.
• Experience working with large and complex datasets across multiple business functions.
• Advanced Microsoft Excel
• SQL and database querying
• Power BI, Tableau, or equivalent visualization tools
• Data profiling and data analysis tools
• Knowledge of data governance and data quality frameworks