Quality Data Analytics - Senior Engineer

About the role

Develop and maintain analytical solutions for customer-quality data, including Warranty, NPS, J.D. Power IQS/VDS/APEAL, and related quality metrics. Integrate, cleanse, validate, and transform data from multiple sources to create reliable, analysis-ready datasets. Apply data-quality checks and document assumptions, definitions, and limitations.

What you'll do

• Develop and maintain analytical solutions for customer-quality data, including Warranty, NPS, J.D. Power IQS/VDS/APEAL, and related quality metrics
• Use statistical analysis, trend analysis, segmentation, and other appropriate analytical methods to identify emerging issues, customer pain points
• Build and maintain recurring reports, dashboards, and visualizations using tools such as SQL, Excel/VBA, Power BI, and Power Apps, as appropriate to the solution
• Automate repeatable data-preparation, analysis, and reporting tasks to improve efficiency, consistency
• Translate analytical findings into clear, evidence-based recommendations. Present results, risks

What you need

• Data analysis
• Dashboarding
• SQL
• Power BI
• Excel
• VBA
• B.Tech or B.E.

Good to have

• Data modelling
• Power Apps
• PowerPoint