> Markdown version of [/jobs/ext/2079331-qlik-programmer-quality-data-analyst](https://www.wearedevelopers.com/jobs/ext/2079331-qlik-programmer-quality-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QLIK Programmer / Quality Data Analyst - **Company:** Aptiv - **Location:** Troy, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Cloud Computing, Data Integrity, Data Visualization, Raw Data, Qliksense, Qlikview - **Published:** August 16, 2026 - **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/402153003 ## About the Role 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. "Must be legally able to work in the U.S. without requirement of any type of visa sponsorship or transfer, now, or at any time in the future"., 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 experience in developing and maintaining Qlik reports and dashboards. Strong understanding of quality management principles and methodologies. Experience with quality metrics such as COPQ, customer complaints, customer scorecards, warranty, and audit reports. Proficiency in data analysis tools and techniques. Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to work independently and as part of a team. Experience workingin a large, multi-site manufacturing environment is highly preferred "Must be legally able to work in the U.S. without requirement of any type of visa sponsorship or transfer, now, or at any time in the future". ## Description Systems and Tools: 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. Data Collection and Management: 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. Data Analysis and Reporting: 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 Cross-Functional Collaboration: 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. Quality Improvement Support: 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. 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