Senior Quality Analyst
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum 2 years
- Required Skills
- Data AnalysisMicrosoft Power BIMicrosoft ExcelQuality AssuranceProcess improvementData modeling
Requirements
- Bachelor’s degree in Data Science, Statistics, Engineering, Quality, Business Administration, or related field
- Minimum 2 years of experience in business, quality, or performance analysis roles
- Strong experience in data analysis, reporting, and quality assurance processes
- Advanced proficiency in Microsoft Excel including pivot tables, formulas, and data modeling
- Strong working knowledge of Power BI for reporting and visualization is required
- Solid understanding of statistical concepts and analytical methods
- Experience with quality management principles, audits, and process improvement frameworks
- Strong communication skills with ability to present insights to diverse stakeholders
- Excellent organizational and time management skills with ability to handle multiple priorities
- Strong problem-solving mindset with ability to work independently and proactively
- Experience in medical device or regulated industries is highly preferred
Responsibilities
- Collect, structure, and analyze quality-related data from complaints, customer feedback, CAPAs, audits, and supplier reports
- Develop dashboards, metrics, and performance reports to monitor quality trends and operational effectiveness
- Identify process gaps and improvement opportunities through workflow and data analysis
- Support quality improvement initiatives including supplier audits and cross-functional projects
- Apply statistical methods to evaluate quality outcomes and determine significance of findings
- Translate business requirements into data models, reports, and actionable insights
- Present findings and recommendations to internal and external stakeholders in a clear and structured manner
- Ensure compliance with data governance, regulatory standards, and quality management frameworks
- Conduct regular data validation, audits, and quality checks to ensure accuracy and reliability
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