Customer support Quality Analyst

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.

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 Summary

We are seeking highly motivated and customer-oriented professionals for the role of Customer Support Executive for an International Voice and Non-Voice Process. The ideal candidate will have excellent communication skills, a problem-solving mindset, and a passion for delivering a top-tier customer experience.

Key Responsibilities

• Manage customer interactions via phone, email, or chat in a professional and timely manner.
• Resolve customer queries, issues, or complaints with accuracy and empathy.
• Maintain detailed records of customer interactions in the system.
• Collaborate with internal teams for escalations and resolution follow-ups.
• Uphold service quality standards and contribute to continuous improvement.

Qualifications & Requirements

• Education: 12th Pass, Diploma, Graduate, or Postgraduate
• Experience: Freshers and experienced professionals (up to 3 years) are encouraged to apply

Skills:

• Excellent verbal and written communication in English
• Strong interpersonal and problem-solving skills
• Basic computer proficiency (MS Office, typing skills)
• Ability to work in a fast-paced, team-oriented environment
• Willingness to work in rotational shifts (including night shifts)

Perks & Benefits

• Competitive salary with performance-based incentives
• Night shift allowances and cab facility
• One-time complimentary meal during shifts
• Opportunities for internal growth and role advancement
• Exposure to international client processes and professional development

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!

Role Overview

We are looking for an experienced professional to evaluate AI-generated responses for conversational AI agents used in travel-related products. The role focuses on assessing response accuracy, relevance, completeness, and quality to improve AI performance.

Key Responsibilities

• Evaluate AI-generated responses against predefined guidelines and quality standards.
• Perform data annotation, labeling, classification, and quality reviews.
• Identify incorrect, misleading, irrelevant, or incomplete responses and potential AI hallucinations.
• Analyze evaluation data to identify recurring errors, quality gaps, and improvement opportunities.
• Track quality metrics, document findings, and recommend improvements.
• Use Excel/Google Sheets and basic SQL, where applicable, to analyze evaluation data.
• Collaborate with AI and Machine Learning teams to improve conversational AI performance.

Required Skills

• 5–8 years of experience in Data Annotation, AI Evaluation, Content Quality, Search Relevance, or Quality Assurance.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Experience applying evaluation guidelines and quality standards consistently.
• Proficiency in Excel or Google Sheets.
• Good written communication and documentation skills.
• Understanding of quality metrics and data analysis.

Good to Have

• Exposure to Generative AI, LLMs, conversational AI, or AI response evaluation.
• Experience with Human-in-the-Loop (HITL), AI training data validation, or hallucination detection.
• Basic SQL knowledge.
• Experience in travel, hospitality, or search quality evaluation.

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL

Senior Quality Engineer

Notice Period: Immediate

Purpose of the Job:

We are seeking a highly skilled and experienced Senior Quality Engineer to join our Enterprise Technology and Data team. This role is crucial in ensuring the delivery of high-quality data-driven solutions and applications across our enterprise systems. The ideal candidate will have deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric and Google Cloud data platforms such as BigQuery and Google Cloud Data Pipelines.

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of our technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). You will work closely with cross-functional teams including developers, data engineers, and product managers to ensure that the highest standards of quality are maintained throughout the software development lifecycle.

Main Activities:

1. · Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.
2. · Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
3. · Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.
4. · SQL Database Testing: SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.
5. · Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.
6. · Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
7. · Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
8. · Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
9. · Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.
10. · Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.
11. · Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

Knowledge/Skill Requirements:

· Education:

1. o Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
2. · Experience:
3. o 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
4. o Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
5. o Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
6. o Strong understanding of data management, data warehousing, ETL processes, and data integration.
7. o Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

Technical Skills:

1. o Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
2. o Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
3. o Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
4. o Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).
5. · Soft Skills:
6. o Strong analytical, problem-solving, and troubleshooting skills.
7. o Excellent communication skills, with the ability to collaborate effectively across departments.
8. o Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
9. o Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.
10. · Certifications/Additional Training – Nice-to-Have:
11. o Relevant certifications (e.g., Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer or Professional Cloud Developer) are a plus.
12. o Experience working with data governance tools such as Azure Purview and ensuring data compliance

Total exp: 5-8 Years

Client: MRI Software

Location: Vadodara

Budget: Look for decent with experience

Mode interview: 1 Virtual

Mode of Work: Hybrid

QA Engineer:

Job Summary/Objective 

Quality Assurance Engineers at MRI collaborate closely with Product Management and Product Development teams to deliver high-quality, high-performance products for our clients. In this role, QA Engineers are responsible for creating and contributing to the documentation of user stories and acceptance criteria, working alongside product owners and development teams. They define manual and automation testing strategies, tools, scenarios, and plans for both web and mobile products, ensuring comprehensive functional and performance testing. 

 QA Engineers will execute static, dynamic, and performance testing while providing detailed reporting and feedback throughout the development lifecycle. They are expected to demonstrate strong technical skills, including expertise in back-end development, database queries, and keen attention to detail. Effective written, verbal, and organizational communication is essential. 

 In addition, QA Engineers will leverage AI to optimize and automate repetitive tasks, thereby enhancing the overall efficiency and effectiveness of QA processes, ensuring a faster, more accurate testing cycle.

Tools and technology:

1.     Tools: Jira, Xray, TFVC, Git

2.     API: REST, SOAP, SoapUI, Postman

3.     Automation: C#, JavaScript, TypeScript, Ruby, Playwright, SpecFlow

4.     Database: SQL