Quality Analyst

Job Title: Customer Support Quality analyst

Location: Bangalore, Koramangala (walkin interview)

Job Type: Full-time

Reports To: Quality Lead

Experience: Minimum 2 to 3 years as a Quality

Analyst in a customer service environment

QA engineers don't apply!!

As a Quality Analyst, you will audit customer interactions across voice, chat and ticketing, email channels,

identify what is going wrong and why, and convert those findings into feedback and coaching that

measurably improves agent performance. The role carries end-to-end ownership of the quality cycle —

auditing against defined parameters, marking critical errors accurately, delivering structured feedback,

participating in calibration, identifying training needs and publishing quality reporting. You will work closely

with the Training team and with Operations, so findings translate into action on the floor rather than sitting

in a report.

Bachelor's degree or equivalent.

• Minimum 2 to 3 years of experience as a Quality Analyst in a customer service, customer support or

contact centre environment.

• Hands-on experience auditing interactions across at least one of voice, chat or ticketing, with exposure

to more than one channel preferred.

• Working knowledge of quality management or audit tools, and the ability to pick up a new platform

quickly.

• Sound understanding of quality parameters, critical error frameworks and audit governance.

• Practical experience of feedback mechanisms and coaching models, with a track record of feedback

that changed agent behaviour.Experience of participating in calibration and maintaining scoring consistency.

• Strong analytical skills and working Excel — pivot tables, lookups and comfort handling large audit data

sets.

• Excellent written and verbal communication, with the ability to write observations a third party can act

on without further explanation.

• Objectivity and the confidence to hold a position in a performance conversation, balanced with

empathy towards agents.

• Ability to manage multiple priorities and meet audit and reporting deadlines consistently.

Key Responsibilities

• Conduct quality audits of US payment transactions and operational activities.
• Review transactions for accuracy, completeness, and compliance with established procedures.
• Validate payment processing, refunds, reversals, settlements, and transaction status.
• Identify discrepancies, processing errors, and potential risks, and coordinate with operations teams for resolution.
• Ensure adherence to SOPs, client guidelines, internal controls, and compliance requirements.
• Perform root-cause analysis to identify recurring errors and recommend corrective actions.
• Prepare quality reports, maintain audit records, and track quality performance metrics.
• Monitor transaction accuracy, error rates, turnaround time, and other quality KPIs.
• Participate in calibration sessions with Operations, Training, and Quality teams.
• Provide feedback to team members to improve accuracy and process performance.
• Support process improvement initiatives to reduce errors and enhance operational efficiency.

Mandatory Requirements

• Minimum 2 years of overall professional experience.
• Graduation is mandatory.
• Minimum 2 years of relevant experience in US Payments.
• Experience in payment processing, transaction auditing, or Quality Assurance is required.
• US international voice process experience is mandatory.
• Domestic voice experience will not be considered.
• Good understanding of payment transactions, refunds, reversals, settlements, and payment disputes.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Good communication and stakeholder-management skills.
• Proficiency in MS Excel and quality reporting.
• Must be comfortable working in US shifts and from the office in Gurugram.
• Must be comfortable with a one-way cab facility.
• PF registration with the previous organization is mandatory.

Job Overview

We are hiring a Quality Analyst for US Payroll operations with experience in international voice processes and quality auditing. The candidate will be responsible for monitoring customer calls, auditing payroll-related transactions, ensuring process compliance, and improving overall service quality.

Key Responsibilities

• Monitor and evaluate international customer calls related to US payroll.
• Conduct quality audits to ensure compliance with SOPs and process guidelines.
• Review payroll-related queries, including salary discrepancies, deductions, tax withholding, payslips, and payment issues.
• Evaluate calls for communication, accuracy, customer handling, and resolution quality.
• Identify quality gaps and provide feedback and coaching to agents.
• Prepare quality reports, analyze performance metrics, and conduct root-cause analysis.
• Participate in calibration sessions with operations and training teams.
• Support process improvement initiatives to reduce errors and improve customer satisfaction.

Mandatory Requirements

• Minimum 4 years of total experience in an international voice process.
• Minimum 2 years of relevant experience as a Quality Analyst in US Payroll.
• Graduation is mandatory.
• International voice experience is mandatory; domestic voice experience will not be considered.
• Good English communication skills.
• Good knowledge of US payroll processes, deductions, and salary calculations.
• Experience in call monitoring, quality audits, and feedback sessions.
• Proficiency in MS Excel and quality reporting.
• Must be comfortable working in US night shifts.
• Must be comfortable with a one-way cab facility.
• PF registration with the previous organization is mandatory.

Preferred Skills

• Knowledge of payroll systems such as ADP, Workday, or UKG.
• Understanding of quality metrics such as CSAT, QA Score, AHT, and FCR.
• Experience in BPO, BPM, payroll outsourcing, or HR operations.

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Location: Goregaon East

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Role Type: Corporate HO-Based

Job Summary

We are looking for a Corporate Quality MIS Analyst with 3–7 years of experience in the Automotive, Wiring Harness, or Auto Components industry. The candidate will be responsible for consolidating quality data from multiple plants, analysing Quality KPIs, preparing MIS reports and dashboards, and providing management-level insights for quality improvement.

Key Responsibilities

Consolidate plant-wise Quality MIS, KPIs, and performance reports.

Analyse PPM, rejection, rework, FPY, customer complaints, CAPA, and 8D data.

Prepare quality MIS reports, dashboards, trend analysis, and management presentations.

Coordinate with Plant Quality Teams to ensure timely and accurate data submission.

Identify quality trends, deviations, recurring issues, and improvement opportunities.

Maintain standardized Corporate Quality MIS formats, databases, and reporting systems.

Support management reviews with accurate quality data and analytical insights.

Track plant-wise quality performance and highlight gaps against defined targets.

Key Requirements

3–7 years of experience in Quality MIS / Quality Reporting within Automotive, Wiring Harness, or Auto Components.

Strong understanding of Quality KPIs, MIS reporting, and data analysis.

Advanced proficiency in MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and dashboards.

Good knowledge of PowerPoint and management presentation preparation.

Knowledge of 7 QC Tools, 8D, CAPA, Root Cause Analysis, PPM, Rejection, Rework, and FPY.

Strong analytical, coordination, communication, and reporting skills.

Experience coordinating with multiple plant/quality teams will be preferred.

Key Responsibilities:

• Process insurance claims accurately as per defined procedures and guidelines.
• Review and investigate claims and take appropriate action based on process requirements.
• Handle customer calls and provide appropriate assistance.
• Ensure compliance with established policies, procedures, quality standards, and audit parameters.
• Meet defined SLA, quality, productivity, and performance targets.
• Maintain accuracy and attention to detail while processing claims.
• Take ownership of assigned tasks and deliverables.
• Coordinate effectively with team members, supervisors, and relevant departments.
• Maintain regular attendance and follow shift schedules and organizational policies.
• Continuously develop process knowledge and improve skills.
• Maintain professional communication and relationships with internal and external stakeholders.

Key Skills:

English Communication | Customer Service | Claims Processing | Attention to Detail | Problem Solving | Teamwork | Process Adherence | Time Management | Quality & SLA Management

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Company: Vi-Son Cables Pvt. Ltd.

Location: Mumbai – Corporate Office

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Job Summary

We are looking for a Quality MIS Analyst with experience in the Automotive, Wiring Harness or Auto Components industry to manage Corporate Quality MIS and reporting. The role will be responsible for consolidating quality data from all plants, analysing KPIs and preparing reports and dashboards for Management.

Key Responsibilities

• Consolidate plant-wise Quality MIS, KPIs and performance reports.
• Analyze PPM, rejection, rework, FPY, customer complaints, CAPA and 8D.
• Prepare MIS reports, dashboards, trend analysis and Management presentations.
• Coordinate with Plant Quality Teams for timely and accurate data.
• Identify quality trends, deviations and improvement areas.
• Maintain standardized Corporate Quality MIS and databases.

Key Requirements

• 3–7 years of experience in Automotive / Wiring Harness / Auto Components Quality.
• Strong knowledge of Quality MIS, Quality KPI reporting and data analysis.
• Proficiency in MS Excel, Pivot Tables, VLOOKUP/XLOOKUP, dashboards and PowerPoint.
• Knowledge of 7 QC Tools, 8D, CAPA and Root Cause Analysis.
• Strong analytical, coordination and communication skills.

Position: Test Engineer

Company : Mayura Consultancy Services

Experience: 2 to 4 yrs

Location : Bangalore

Work Location: Work From Home(WFH)

Apply : Please apply using the URL below Once you complete the application form, we will review your profile and get back to you.

Website :

https://www.mayuraconsultancy.com/careers/test-engineer-opening-mcs?r=jlp

MCS is seeking a meticulous and detail-oriented experienced Test Engineer with minimum of 2 Years of relevant experience to join our team. As a Test Engineer, you will play a crucial role in ensuring the highest standards of quality and efficiency in our products or services. Your primary responsibility will be to assess and evaluate processes, identify areas for improvement, and develop strategies to enhance quality across all aspects of our organization.

Responsibilities

• Develop and implement quality assurance standards, procedures, and methodologies to ensure consistency and excellence in our products, services, or processes.
• Conduct comprehensive evaluations and audits of products, services, or processes to identify deviations, defects, or areas of improvement.
• Maintain detailed records of quality assessments, findings, and recommendations.
• Create and update quality documentation, including standard operating procedures.
• Investigate the root causes of quality issues and collaborate with relevant teams to implement corrective and preventive actions.
• Provide guidance and training to teams and employees on quality standards, best practices, and continuous improvement methodologies.
• Establish feedback mechanisms and channels for employees and customers to report quality-related concerns or suggestions for improvement.
• Prepare and deliver regular reports on quality performance, highlighting areas of success and areas requiring attention.
• Ensure that our processes and products adhere to relevant industry standards, regulations, and compliance requirements
• Drive a culture of continuous improvement by identifying opportunities to streamline processes and enhance quality.

Qualifications:

• Bachelor's degree or Master's degree in a relevant field (Quality Management, Business, Engineering, etc.)
• Proven experience of 1-2 years as a Test Engineer.
• Strong analytical and problem-solving skills.
• Proficiency in quality management tools and methodologies (e.g., Six Sigma, Lean, ISO standards).
• Excellent communication skills.
• Attention to detail and a commitment to precision.
• Ability to work collaboratively with cross-functional teams.
• Familiarity with quality management software and tools.

If you have a keen eye for detail, a passion for process improvement, and the ability to drive positive change, we invite you to apply. This role offers the opportunity to make a significant impact on our organization's quality standards and contribute to our ongoing success. Apply today to be a part of our quality-driven team!

Senior QA Analyst (Agentic AI)

Location - Chennai

Experience - 5-8 yrs

Job Summary -

Defines, develops, maintains, and executes test scripts for IT projects and/or maintenance items in

an Agile environment utilizing Atlassian JIRA and Zephyr for sprint backlog and test management.

Strives to ensure that user stories and/or system requirements are satisfied for internal and external application users. Ensures project/sprint testing is complete, and testing risks are identified before

implementation. Manages defects from identification to closure through the Software Development Life Cycle. Leverages agentic AI tools and AI-assisted testing platforms to accelerate test design, script

generation, and defect triage, while applying sound professional judgment to validate AI-generated outputs and safeguard overall test quality.

Job Responsibilities -

• Integrated Scrum team member responsible for upholding and ensuring quality assurance standards; contributes and participates in all Scrum activities and ceremonies.

• Defines, develops, and maintains test scripts, leveraging agentic AI tools (e.g., AI-based test-generation and self-healing automation agents) to accelerate script creation and upkeep. Reviews test scripts—including those authored or modified by AI agents—and provides

feedback to less experienced team members.

• Independently executes test plans and test scripts based on planned project schedules and in accordance with QA methodology.

• Proactively escalates issues to the Product Owner/Tech Lead and alerts the project/Scrum team on potential impact to the test schedule.

• Records and tracks defects uncovered during the execution of test scripts, including those surfaced by autonomous AI testing agents. Drives defects toward resolution; proposes and designs retest cases, scripts, and data, using agentic AI to accelerate root-cause analysis where appropriate. Contributes to defect management: defect status, root cause, and daily triage meetings.

• Provides timely and accurate defect status information and appropriate metrics to facilitate QA reporting. Reports individual status: dashboard information, open issues, and risk analysis.

• Participates in validation of release candidate/production deployments and production support testing as needed.

• Provides consistent and uninterrupted testing services to the organization and minimizes risk of system downtime.

• Reviews requirements/user stories and specifications and provides input during requirements and specification walkthroughs.

• Develops and executes SQL queries.

• Configures, directs, and supervises agentic AI testing tools within the QA workflow, including AI agents that generate, execute, and self-heal test scripts. Validates agent-produced results for accuracy and completeness and escalates cases where AI output requires deeper human judgment or intervention.

• Applies effective prompt engineering and critically reviews AI-generated test artifacts (test cases, scripts, data, and defect summaries) for correctness, coverage, and compliance with QA

standards, serving as the human-in-the-loop checkpoint for AI-driven testing activities.

• Uses Claude Code to author, execute, and validate Playwright automation test scripts for UI and API test coverage, reviewing and refining AI-generated automation code to ensure it meets QA

coding standards and reliably validates application behavior.

• Contributes to the development of test plans, the project testing approach, and related documents. Understands and contributes to the process of test estimates and project schedules.

• Participates in test planning, test case design, and test script walkthroughs with QA Leads. Understands testing to be accomplished and suggests changes for efficiencies within or between

projects. Actively participates and contributes to the QA design.

• Adheres to established standards and methodologies, including responsible use and governance of agentic AI testing tools. Utilizes tools and methodologies, including agentic AI and automation platforms, to improve individual effectiveness and increase efficiencies in the QA

process.

• Develops and sustains appropriate relationships and communication with peers and other project team members.

Requirements -

• Bachelor's degree or an equivalent combination of education and work experience.

• Minimum of 5–8 years' experience in Quality Assurance.

• 1+ years' experience leading test projects. Training in project management or equivalent knowledge.

• Experience with, or strong aptitude for, agentic AI and AI-assisted testing tools (e.g., AI-based test generation, self-healing automation, autonomous QA agents) is highly desirable.

Skills -

• Strong leadership capabilities, good judgment, and the ability to work effectively with a diverse workforce.

• Excellent verbal and written communication skills.

• Strong analytical, problem-solving, and planning ability. Detail-oriented and Observant.

• Ability to multitask to accomplish workload efficiently. Excellent time management.

• Good work ethic and general business acumen.

• Proficient in the Microsoft Office suite.

• Working knowledge of agentic AI and AI-assisted testing tools; ability to apply prompt engineering, critically evaluate AI-generated test artifacts, and maintain human oversight and accountability over AI-driven testing outputs.

• Hands-on experience with the Playwright test automation framework and with Claude Code or similar agentic coding tools for generating, executing, and validating automation scripts.

• Experience with the system development lifecycle. Extensive knowledge of test engineering methodologies.

• Working knowledge of testing concepts, verification and validation techniques, defect management, quantitative methods, risk management, and measurement programs.

• Understanding of relational database principles, client/server infrastructure, and n-tier architecture concepts.

• Working knowledge of defect tracking, quality principles, and testing tools.

• Knowledge of MS SQL Server, AWS Postgres, Web, Mobile, Accessibility, and Middle tier testing.

Professional Competencies -

• Ethical decision making: acts in the best interest of the organization, demonstrates integrity in all situations, and holds self and others to the organization's values.

• Focus on business results: understands the financial implications of business decisions, sets ambitious goals, and prioritizes sustained business performance.

• Honoring commitments: meets or exceeds performance expectations and inspires trust by delivering on promises.

• Embracing change: participates actively in the change process, shows resiliency and commitment during times of change, revises priorities and adapts project plans or work tasks as

needed, and takes initiative to improve own capabilities as the business changes.

• Service delivery: delivers service in compliance with contracted agreements, meets or exceeds established performance standards, and uses available tools and systems to deliver timely, accurate work.

The EDI QA Analyst works closely with external vendors during implementations to communicate testing expectations, coordinate validation activities, and address vendor feedback. Operating in a production-adjacent environment, the role ensures data accuracy, file integrity, and carrier readiness through structured test planning, test data preparation, scenario validation, defect identification and classification, and thorough documentation within the carrier file/EDI delivery lifecycle.

In addition, the analyst collaborates cross-functionally with requirements, development, and implementation teams to develop comprehensive test plans, manage testing activities, and work through ticketing queues to ensure timely and high-quality file delivery.

Post-production, the EDI QA Analyst is responsible for ongoing monitoring, review, and resolution of carrier error reports, while identifying trends and opportunities for continuous process improvement.

Key Responsibilities and Duties

Carrier/Vendor File Validation

•     Validate outbound carrier/vendor files (ANSI/HIPAA 834 and related formats) for structural integrity, format compliance, eligibility accuracy, and carrier-specific requirements before transmission.

•     Collaborate with external carriers/vendors and internal teams, including development and operations, to validate file behavior and resolve discrepancies.

Scenario-Based Testing

•     Develop and execute structured test scenarios covering eligibility rules, enrollment transactions, life events, and carrier-specific behaviors across internal and external testing phases.

End-to-End Data Reconciliation

•     Trace and reconcile data from upstream systems through platform outputs to final vendor files using SQL, reports, and control totals to ensure data integrity.

•     Test Planning & Requirements Traceability

o  Translate carrier/vendor and business requirements into structured test plans, reusable test cases, and traceable validation scenarios aligned to standardized templates.

•     Test Data Preparation

o  Identify, prepare, and manage representative test populations across systems and reporting environments to support validation cycles.

•     Defect Identification & Routing

o  Analyze validation results, classify defects (requirements, configuration, data, system issues), and manage QA tickets through defined workflows, ensuring proper routing, status tracking, ownership, and timely closure.

•     Documentation & Continuous Improvement

o  Provide regular status updates on QA progress, risks, and dependencies aligned to timelines and release schedules.

o  Maintain QA documentation (test plans, validation evidence, file layouts, queries, defect patterns) while building reusable test assets, vendor test plan libraries, and supporting future automation initiatives.

o  Help establish and maintain a vendor test plan library in support of all vendor relationships.

o  Drive automation and validation improvements.

•     Production Monitoring & Carrier Error Resolution

o  Review carrier acknowledgement and error reports (e.g., 999, rejection reports)

o  Investigate and resolve rejected records.

o  Coordinate corrections and reprocessing.

o  Ensure timely resolution within SLA.

•     Trend Analysis & Continuous Improvement – Post-production

o  Analyze recurring carrier errors and identify patterns.

o  Provide insights into upstream data or configuration issues.

o  Recommend improvements to reduce rework and increase first-pass success.

Required Qualifications

•     Bachelor’s degree in Computer Science or a related technical field (or equivalent experience).

•     Minimum of 2 years of experience in health insurance or Health & Welfare (H&W) benefits administration.

•     Experience working with carrier files, EDI transactions, or HIPAA 834 files in a production or operational environment.

•     Strong understanding of eligibility and enrollment processes, including effective date logic and life event transactions.

•     Hands-on experience with SQL for data validation, reconciliation, and defect analysis.

•     Strong analytical skills with a high level of attention to detail, especially in regulated environments with low tolerance for error.

Preferred Qualifications

•     Familiarity with QA best practices and Quality Management Systems (QMS), including frameworks that ensure consistent compliance with customer and regulatory requirements while driving continuous improvement and efficiency.

•     Experience with EDI testing and carrier integration environments.

•     Exposure to COBRA processes within benefits administration.

•     Experience with test automation and test case management tools.

•     Familiarity with AI-assisted testing or quality engineering practices.

•     Experience in preparing, validating, and analyzing test data across multiple systems.

•     Solid understanding of data models and relational database concepts.

•     Experience using defect tracking and ticketing systems such as JIRA (or similar tools).