Payroll QA Analyst

Distro; Dadri; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Distro is seeking a meticulous QA professional with a strong grasp of US payroll, benefits, and compliance to join our payroll, compliance and benefits teams. You will validate payroll calculations, run regression tests, and help ensure data accuracy across employee demographics and multi-location scenarios.

The role involves collaborating with automation QA engineers in an Agile environment, creating and maintaining test cases, and reporting risks with mitigation plans.

Qualifications

• Keen eye for detail to spot discrepancies in payroll data and tax calculations.
• Solid understanding of US payroll and taxes.
• Proficiency in time management to prioritize tasks in a demanding environment.

Responsibilities

• Define data requirements for payroll scenarios and calculations across multiple jobs and locations.
• Conduct regression testing using manual and automated tools to ensure product quality.
• Create, maintain, and update test cases based on team changes.
• Review and validate US payroll calculations in different scenarios.
• Participate in the full development life cycle in an Agile environment.
• Apply QA practices: test design, defect reporting, and Agile testing techniques.
• Analyze, track, and report application issues.

Skills

Keen Eye for Detail

US payroll knowledge

Time Management

Education

College degree or equivalent, CS preferred

Tools

Excel

Job description

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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