Payroll QA Analyst

Location: Noida, Uttar Pradesh
Department: Company-Wide

We are looking for a meticulous, quality driven QA professional with extensive understanding of U.S. payroll, benefits and compliance issues. This role will work within our payroll, compliance and benefits areas.

Job Responsibilities: • Define, establish, and stage data requirements for different payroll scenarios and calculations. This includes testing different employee demographics, wage structures, types of deductions, tax rates and brackets involving multiple jobs and locations. • Conduct regression testing to ensure stability and quality of the product. This includes a combination of manual testing and automated testing tools. • Create, maintain, and update test cases based on the changes/modifications implemented by the team. • Review and validate U.S payroll calculations in different scenarios. • Participate in the entire development life cycle from concept to release in an Agile environment. • Understand and participate in software industry standard quality assurance practices, including but not limited to test case design, software defect reporting, and Agile testing techniques, as well as common software QA tools. • Analyzes, tracks, and reports on application issues. • Regularly summarizes testing status and areas of risk, and wherever possible propose and execute mitigation strategies. • Employs a sound risk management approach to determine well-structured and comprehensive test strategies for assigned projects. • Collaborate with automation QA engineers to identify and prioritize areas for significant efficiency and confidence gains through test automation.

Required Skills: • Keen Eye for Detail: Ability to spot discrepancies, inconsistencies and errors in payroll data and tax calculations with a high degree of accuracy. • Solid Understanding of U.S. payroll and taxes

**Qualifications: ** • 3+ years of experience within the PEO industry, coupled with significant hands-on experience with software applications commonly used within the PEO industry. • Education: College degree or equivalent experience, preferably in Computer Science • Analytical Thinking: Ability to interpret and apply tax rules, analyze payroll data, and troubleshoot complex issues. • Technical Proficiency: Comfortable working with Excel and/or other tools used for data analysis. • Time Management: Ability to prioritize tasks and manage time effectively in a demanding environment. • Communication Skills: Ability to communicate effectively in a clear and concise manner. Ability to document and explain findings across other disciplines with the team and leadership. • Organization: Ability to organize large bodies of work and structure in logical way

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