Data Analyst L3

SID Global Solutions; Pasig; On-site; PHP 400,000 - 800,000; Full time

Job summary

SID Global Solutions is seeking a Data Analyst to bolster Banking Insure’s data quality, governance, and readiness by analyzing, cleansing, organizing, and validating data across systems. This role supports accuracy, consistency, and usability to drive efficient operations and informed decisions.

You will perform data profiling, develop data dictionaries, dashboards, and collaborate with business and IT teams on data requirements and rules.

Qualifications

• Bachelor's degree in IT/CS/IS/Statistics/Math/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 working with large and complex datasets across multiple business functions.

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.

Skills

Data analysis

Data quality

SQL

Advanced Excel

Data visualization

Education

Bachelor's Degree in Information Technology

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Systems

Bachelor's Degree in Statistics

Bachelor's Degree in Mathematics

Bachelor's Degree in Engineering

Bachelor's Degree in Business Analytics

Tools

Power BI

Tableau

SQL databases

Data profiling tools

Data governance frameworks

Job description

The Data Analyst will support Banking 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

Data Quality and Data Cleansing

• 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.

Data Analysis and Documentation

• 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.

Business and Modernization Support

• 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.

Stakeholder Engagement

• Coordinate with business users, subject matter experts, and technical teams to validate data requirements and findings.
• Participate in data governance and data quality improvement initiatives.

Minimum Qualifications

• 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.

Preferred Qualifications

• Experience handling enterprise-wide datasets covering multiple departments or business units.
• Insurance, banking, financial services, or related industry experience.
• Experience supporting data migration, system modernization, or digital transformation initiatives.
• Familiarity with data governance and data management best practices.

Technical Skills

• 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
• Understanding of data warehousing and data lake concepts is an advantage

Preference will be given to candidates who:

• Have performed enterprise-wide data cleansing and remediation activities.
• Possess insurance industry experience, particularly involving policy, customer, claims, underwriting, or financial datasets.
• Have supported system migration, modernization, AI readiness, or digital transformation programs.
• Have previously worked with large-scale organizational datasets spanning multiple departments and business functions.