Data QA Lead - FinTech Analytics & Validation

Globe Telecom, Inc.; Caloocan; On-site; PHP 480,000 - 820,000; Full time

Job summary

Globe Telecom, Inc., via its GCash fintech arm, seeks a Quality Assurance/Data Testing professional to validate analytics outputs and ensure data quality across our data platforms. You will design test cases and plans, perform SQL-based data validation, coordinate with Data Analysts and stakeholders, and provide QA sign-off for UAT and production deployments while maintaining comprehensive QA artifacts.

This is a fast-paced role in a market-leading FinTech that values accuracy, collaboration,

Qualifications

• Experience in Quality Assurance / Data Testing (QA testing, concepts, methodologies) preferably in analytics, data warehousing, or data platform environments.
• Strong SQL skills (required) for validating data across data layers and building ad hoc validation queries.
• Hands-on experience with BI and reporting tools such as Google Data Studio / Looker Studio, Google Sheets, Excel; familiarity with BigQuery, Tableau, Power BI, and DAAS is preferred.
• Experience with big data technologies (e.g., Hadoop / big data stacks) is an advantage.
• Experience using Jira and Confluence (or similar tools) for ticketing, defect tracking, and documentation is preferred.
• Experience with data test / data QA automation (e.g., SQL-based regression suites, scheduled validation jobs, or similar data QA automation tools) is an advantage.
• Prior experience in financial services, fintech, or large-scale transaction data environments is an advantage.

Responsibilities

• Test cases, test plans, and QA checklists that validate whether data outputs meet defined business requirements and acceptance criteria.
• QA evidence and data quality validation results, including queries, screenshots, and supporting documentation that demonstrate completeness, accuracy, and readiness for UAT or sign-off.
• Defect logs and QA reports summarizing issues found, root causes, severity, status, and retest results, with proper tracking through Jira and BA QA metrics/KPIs.
• Improved quality of analytical outputs through early issue detection, reduced rework, and stronger compliance with SLA and QA standards.

Skills

SQL

BI tools

QA automation

Jira/Confluence

FinTech experience

Data testing concepts

Tools

Looker Studio

Google Sheets

Excel

BigQuery

Tableau

Power BI

DAAS

Jira

Confluence

Job description

Globe Telecom, Inc., via its GCash fintech arm, seeks a Quality Assurance/Data Testing professional to validate analytics outputs and ensure data quality across our data platforms. You will design test cases and plans, perform SQL-based data validation, coordinate with Data Analysts and stakeholders, and provide QA sign-off for UAT and production deployments while maintaining comprehensive QA artifacts.

This is a fast-paced role in a market-leading FinTech that values accuracy, collaboration,