QA Analyst

Responsibilities

• Plan, manage, and execute testing cycles: Define games, jurisdictions, questions, and schedules; ensure rationale is documented and visible.
• Operate and refine third-party AI agentic testing platforms: Configure runs, refine agent instructions, review and classify outputs, and follow through with vendors.
• Conduct detailed Data QA: Review AI outputs, check and reconcile data, diagnose trends, cross-reference with client implementations, and resolve anomalies before escalation.
• Perform manual testing for scenarios not yet covered by agentic automation: Scope, run, and document manual tests according to repeatable SOPs.
• Maintain clear, explainable methodology, SOPs, and result documentation for stakeholders.
• Provide daily status and progress visibility during active cycles; ensure no backlog of QA or unresolved issues.
• Drive blockers to resolution, clearly logging reasons and responsible owners.

Qualifications

• Experience with automated and manual testing in a software development environment.
• Strong understanding of data quality assurance and ability to identify and resolve data anomalies.
• Proficiency in using AI-driven tools and platforms for testing and analysis.
• Excellent communication and documentation skills to maintain clear and explainable methodologies.
• Ability to work independently and manage multiple tasks simultaneously.