- - 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.

- Use statistical analysis, trend analysis, segmentation, and other appropriate analytical methods to identify emerging issues, customer pain points, drivers of performance, and opportunities for corrective action.

- 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, and timeliness while maintaining appropriate validation and controls.

- Translate analytical findings into clear, evidence-based recommendations. Present results, risks, and proposed actions to technical and non-technical stakeholders in review meetings.





- Serve as a technical point of contact for stakeholder questions about data definitions, analytical methods, report results, and interpretation of quality metrics.

- Gather and document stakeholder requirements; incorporate feedback into reporting and analytical solutions while maintaining traceability of changes.

- Perform quality checks on analytical code, datasets, calculations, dashboards, and reports before release; investigate discrepancies and resolve data or logic issues.

- Identify process and technology improvements across Warranty, NPS, and J.D. Power analysis workflows. Develop project proposals that define the problem, scope, approach, expected perks, and measures of success.

- Coordinate cross-functional contributors, dependencies, and actions to support delivery of analytics and automation projects.

- Coach team members on data preparation, analytical methods, reporting tools, and quality-control practices.

- Maintain current knowledge of relevant analytical methods, reporting technologies, and industry practices.

📌 Quality Data Analytics - Senior Engineer (Chennai)
🏢 Ford Global
📍 Chennai