Data QA Lead — FinTech Analytics & SQL

Globe; Philippines; On-site; PHP 1,200,000 - 2,300,000; Full time

Benefits offered by this job

Career growth

Competitive compensation

Flexible benefits

Job summary

GCash, the leading fintech in the Philippines, is seeking a QA Lead to drive data QA across analytics and data warehousing environments. You will design test plans, validate data outputs, and coordinate with Data Analysts and DAISMs to ensure quality and timely delivery.

You will leverage SQL-based validation, BI tools, and data QA automation to improve accuracy and efficiency while maintaining audit trails and SLAs in a fast-paced fintech setting.

Qualifications

• Experience in Quality Assurance / Data Testing in analytics, data warehousing, or data platform environments.
• Strong SQL skills for validating data across data layers and building ad hoc validation queries.
• Experience with BI and reporting tools (Looker Studio, Google Data Studio, Google Sheets, Excel; familiarity with BigQuery, Tableau, Power BI).

Responsibilities

• Create detailed test cases, test plans, and QA checklists based on requirements and acceptance criteria.
• Perform data quality validation and QA testing on outputs (reports, dashboards, tables).
• Execute SQL-based validation across data layers to ensure alignment with requirements.
• Coordinate with Data Analysts and DAISMs to clarify requirements and acceptance criteria.
• Conduct QA testing within SLA timelines and document defects in Jira, with retesting and sign-off.
• Maintain QA documentation and artifacts for auditability and reuse.
• Participate in daily stand-ups and sprint activities to report QA progress and blockers.
• Leverage AI and automation to improve QA activities while ensuring traceability and data integrity.

Skills

QA testing concepts

SQL

Data validation

Analytics

Agile / Scrum

Tools

Google Data Studio/Looker Studio

BigQuery

Tableau

Power BI

Google Sheets

Excel

Jira

Confluence

Job description

GCash, the leading fintech in the Philippines, is seeking a QA Lead to drive data QA across analytics and data warehousing environments. You will design test plans, validate data outputs, and coordinate with Data Analysts and DAISMs to ensure quality and timely delivery.

You will leverage SQL-based validation, BI tools, and data QA automation to improve accuracy and efficiency while maintaining audit trails and SLAs in a fast-paced fintech setting.