Data Analyst

SID Global Solutions; Eastern Manila District; Presencial; PHP 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

SID Global Solutions is seeking a Data Analyst to enhance data quality and governance across multiple systems. You will cleanse, profile, and validate data while documenting data lineage and metadata.

You will work with business and IT teams to prepare data for modernization, AI-ready analytics, and informed decision-making. Strong SQL, Excel, and BI tools are required.

Formación

• Bachelor’s degree in IT, CS, IS, statistics, mathematics, engineering, business analytics or a related field.
• Minimum 3 years of experience in data analysis, data review, data quality, reporting, or analytics.
• Proven experience in data cleansing, validation, and quality improvement activities.
• Experience handling large, complex datasets across multiple business functions.

Responsabilidades

• Perform data quality assessments, profiling, validation across systems.
• Describe data relationships and maintain data dictionaries and lineage.
• Support data prep for modernization, AI-ready datasets, and analytics.
• Collaborate with business users and IT to validate data requirements.

Conocimientos

Data analysis

Data quality

Data cleansing

Data governance

Stakeholder engagement

Educación

Bachelor's degree in IT/CS/IS/Statistics/Math/Eng/Business Analytics

Herramientas

SQL

Excel

Power BI

Tableau

Descripción del empleo

Job Description – Data Analyst

Position Title - Data Analyst

Purpose of the Role

The Data Analyst will support 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