Role Summary
The Quality Data Analyst will play a critical role in supporting the organization's quality initiatives by collecting, analyzing, and reporting on key quality metrics. This position requires a strong analytical mindset, proficiency in data visualization tools (specifically Qlik), and a deep understanding of quality management principles. The ideal candidate will have experience working in a complex, multi-site automotive manufacturing environment and be adept at translating raw data into actionable insights to drive continuous improvement.
Your Role
- Proficiently utilize Qlik Sense or QlikView to develop and maintain interactive reports and dashboards. Knowledge of Qlik Cloud environment is plus
- Leverage other data analysis tools and techniques as needed.
- Maintain and improve existing Qlik applications.
- Assist in the implementation and maintenance of quality management systems.
- Gather and validate quality data from various sources, including ERP systems, excel workbooks, quality management systems (QSYS), and customer feedback platforms.
- Maintain and organize large datasets, ensuring data integrity and accuracy.
- Develop and implement data collection procedures and protocols.
- Develop and maintain comprehensive Qlik reports and dashboards to visualize key quality metrics, including Cost of Poor Quality (COPQ), customer complaints, customer scorecards, warranty data, and audit findings.
- Generate regular and ad-hoc reports for management and stakeholders, providing clear and concise insights into quality performance.
- Develop and maintain dashboards for customer scorecards that accurately reflect quality performance.
- Develop and maintain a dashboard to analyze warranty data to identify recurring issues and drive corrective actions.
- Develop and maintain dashboard for internal and external audits
- Work closely with IT Team to provide Qlik tools conform to organization standards.
- Work closely with various departments, including finance, manufacturing, engineering, and customer service, to ensure alignment on quality goals and objectives.
- Communicate effectively with stakeholders at all levels of the organization.
- Collaborate with quality engineers and other stakeholders to identify opportunities for process improvement and cost reduction.
- Provide data-driven recommendations to support quality improvement initiatives.
- Monitor the effectiveness of corrective and preventive actions (CAPA) through data analysis.
- Support the development and implementation of quality metrics and performance indicators.
Your Background
- Bachelor's degree in statistics, data science, engineering, or a related field.
- Minimum of 3-5 years of experience in quality data analysis, preferably in the automotive industry.
- Proven expe