Senior Business Intelligence Analyst - Advanced Quality Engineer

Yanfeng is a leading global automotive supplier, focusing on interior, exterior, seating, cockpit electronics, and passive safety, and is exploring new business actively. Yanfeng has more than 240 locations and approximately 57,000 employees worldwide. The technical team of 4,200 experts is in 10 R&D centers and other regional offices, with complete capabilities including engineering and software development, styling, and test validation.

Focusing on smart cabin and lightweight technology, Yanfeng supports automakers to explore future mobility and provide leading cabin solutions. For more information, please visit

• Design, develop, and maintain interactive dashboards, reports, and data models supporting Advanced Quality, launch readiness, and supplier performance.
• Translate business questions into analytical frameworks, KPIs, and data visualizations that enable early risk identification and corrective action.
• Perform trend analysis, root cause analysis, and predictive analytics related to quality escapes, launch issues, supplier readiness, and PPAP/APQP milestones.
• Ensure data accuracy, consistency, and traceability across multiple systems and data sources.

• Support Advanced Quality activities across product launches, including APQP/PPAP status tracking, launch readiness metrics, and gate review milestone reporting by developing scorecards and metrics to track supplier quality, process capability, and compliance to established customer and Yanfeng KPI targets.
• Establish customer “green sheets”/ customer scorecard targets and assist in early monitoring of issues and scorecard issue avoidance.
• Establish early warning indicators for launch risk and quality performance in partnership with Quality and Program teams.
• Provide data-driven insights to support escalation and prioritization during launch and post-launch stabilization.

• Serve as a trusted analytics partner to Advanced Quality, Supplier Quality, Program Management, and Operations leadership.
• Present insights, trends, and recommendations clearly to technical and non-technical audiences, including executive leadership.
• Gather requirements, challenge assumptions, and propose analytical solutions aligned with business priorities.
• Mentor junior analysts and support best practices for data governance and visualization standards.

• Leverage AI and analytics tools such as Power BI, SQL, Excel, or similar platforms.
• Integrate data from ERP, QMS, supplier portals, PLM, and manufacturing systems.
• Support data governance, KPI definitions, target establishment and tracking and standardized reporting across the Quality organization.
• Drive continuous improvement in reporting efficiency, automation, and analytical maturity.

• Bachelor’s degree in Data Analytics, Information Systems, Engineering, Business, or a related field.
• 6–8+ years of experience in business intelligence, analytics, or data reporting roles.
• Demonstrated experience with AI tools (e.g., Power BI) and relational databases (SQL).
• Strong experience developing dashboards, scorecards, and executive-level reporting.
• Excellent communication, presentation, and stakeholder management skills.
• Travel Ability – 50%

• Experience in the automotive industry, particularly within a Tier One supplier environment.
• Familiarity with automotive quality systems such as IATF 16949 and PPAP.
• Experience supporting manufacturing, quality, supplier, or product launch organizations.
• Knowledge of predictive analytics or advanced data visualization techniques.

• Analytical Thinking & Problem Solving
• Business Acumen and Quality Mindset
• Stakeholder Influence & Collaboration
• Data Storytelling & Visualization
• Continuous Improvement Orientation

• Quality Systems:
  Understand, apply and meet all function related YF IOS requirements.
• Environmental, Health & Safety (EHS):
  Understand, apply and meet all function related EHS requirements.
• Product Safety:
  Understand, apply and meet all function-related Product Safety requirements.
• Compliance:
  Understand, apply and meet all function-related Compliance requirements.
• Information Security:
  Understand, apply and meet all function-related IT / Information Security and confidentiality of YFAI information requirements.
• Must comply with all company policies and procedures.
• Employee must have the ability to work additional hours and / or overtime as needed or assigned to complete job duties on time.
• Ability to multitask, interact politely and professionally with customers, suppliers and vendors, and work cooperatively with employees at all levels.
• Ability to maintain predictable and regular attendance, arrive to designated location on time, or be at assigned location ready to work for assignment (plant, corporate office, or remote).