Analytics QA Leader - Data Quality and Impact

GCash; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Career growth opportunities

Flexible benefits package

Job summary

GCash is seeking a seasoned QA leader to manage end-to-end QA for Business Analytics outputs. You will establish testing strategies, govern QA processes, and drive data-quality validation across reports and dashboards.

Lead a QA team, collaborate with Data Analysts and DAISMs, and ensure timely, high-quality deliverables for UAT and production. You will own test planning, sign-off criteria, and documentation, while continuously improving processes and introducing scalable controls to reduce

Qualifications

• Experience leading end-to-end QA for analytics outputs and data deliverables.
• Ability to define QA strategies, governance, and sign-off criteria aligned with SLAs/KPIs.
• Experience creating and reviewing detailed test cases, plans, and validation approaches (SQL-based).
• Proven leadership to coach and guide a QA team, remove blockers, and ensure timely delivery.
• Track, analyze, and report QA metrics and performance indicators to management.

Responsibilities

• Lead and manage the end-to-end QA function for Business Analytics outputs, ensuring that adhoc extracts, reports, dashboards, and other in-scope data deliverables meet defined business and technical requirements before endorsement to UAT or production.
• Establish, implement, and continuously improve QA strategies, processes, ways-of-working, and governance standards for Business Analytics, including test planning, sign-off criteria, documentation templates, and quality controls aligned with agreed SLAs and KPIs.
• Oversee the creation, review, and approval of detailed test cases, test plans, QA checklists, and SQL-based validation approaches based on business requirements, user stories, and acceptance criteria.
• Manage data quality validation and testing activities across Business Analytics outputs by ensuring completeness, accuracy, consistency, uniqueness, logic integrity, and readiness for business use.
• Provide leadership and direction to the QA team by assigning work, monitoring testing progress, reviewing output quality, removing blockers, and ensuring delivery of QA activities within committed timelines.
• Coordinate closely with Data Analysts, DAISMs (Data and AI Success Manager), Project Management Office, and business stakeholders to clarify requirements, align on scope and acceptance criteria, and ensure timely resolution of issues affecting quality and delivery.
• Drive defect management by ensuring timely logging, triaging, tracking, validation of fixes, retesting, and final QA endorsement of tickets prior to requestor acceptance or production deployment.
• Maintain and enforce complete QA documentation and testing artifacts, including evidence files, validation queries, sign-off records, and reusable knowledge assets, to support auditability, traceability, and future testing efficiency.
• Track, analyze, and report QA metrics and operational performance indicators such as SLA compliance, defect leakage, rework, throughput, cycle time, stakeholder feedback, and overall quality of output to management and relevant stakeholders.
• Lead continuous improvement initiatives for QA within Business Analytics by identifying quality gaps, strengthening controls, standardizing practices, and introducing automation or scalable solutions that improve efficiency, reduce rework, and elevate delivery quality.
• Support the development and capability building of QA resources through coaching, knowledge transfer, process alignment, and performance guidance to ensure a high-performing and scalable QA team under Business Analytics.
• Participate in leadership and team ceremonies, status discussions, and planning sessions to communicate QA progress, risks, dependencies, and recommendations that help Business Analytics maintain strong quality and predictable delivery outcomes.

Skills

QA Strategy

Test Plans

Governance Standards

Stakeholder Management

Data Analytics

QA Metrics

Leadership

Job description

GCash is seeking a seasoned QA leader to manage end-to-end QA for Business Analytics outputs. You will establish testing strategies, govern QA processes, and drive data-quality validation across reports and dashboards.

Lead a QA team, collaborate with Data Analysts and DAISMs, and ensure timely, high-quality deliverables for UAT and production. You will own test planning, sign-off criteria, and documentation, while continuously improving processes and introducing scalable controls to reduce