Engineer - Quality & Customer Claims Data Analyst

About the Role

Quality & Customer Claims Data Analyst

• Key Responsibilities

Data Analysis & Reporting

• Collect, consolidate, and analyze customer claims, warranty, and quality-related data from multiple sources.
• Identify trends, recurring issues, and root causes using statistical and analytical methods.
• Develop dashboards and reports for management and cross-functional teams.

Quality Performance Monitoring

• Track key quality indicators (PPM, warranty costs, failure modes) and provide insights for continuous improvement.
• Support problem-solving teams with data-driven analysis for corrective and preventive actions.

Customer Feedback Integration

• Translate customer claims data into actionable recommendations for product and process improvements.
• Collaborate with engineering and manufacturing teams to prioritize issues based on impact and frequency.

Process Improvement

• Contribute to the development of predictive models for early detection of potential quality issues.
• Support digitalization initiatives for automated data collection and analysis.

Required Qualifications

Education

Experience

• 3+ years in data analysis, preferably in a manufacturing or quality environment.
• Familiarity with warranty and claims management processes.
• Candidate working with Construction Equipment, Agricultural equipment manufacturing Industries will only be preferred.

Skills

• Proficiency in

  data analysis tools

  (Excel, Power BI, Tableau, or similar).
• Strong knowledge of

  SQL

  and experience with ERP systems (SAP preferred).
• Understanding of quality methodologies (APQP, PPAP, FMEA) is a plus.
• Excellent problem-solving and communication skills.

Languages

Preferred Qualifications

• Certification in

  Data Analytics

  (e.g., Microsoft Certified Data Analyst, Six Sigma Green Belt).
• Experience in automotive, agricultural, or off-highway equipment industries.
• Knowledge of

  statistical process control (SPC)

  and predictive analytics.

Key Competencies

• Analytical and detail-oriented mindset.
• Ability to present complex data in a clear and actionable way.
• Strong collaboration skills across global teams

Interested can share resume on sh.mane@hyva.com mentioning current ctc, expected ctc and notice period.