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CQR Engineer - Quality Analytics Specialist

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Capgemini
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Position: CQR Engineer - Quality Performance Analytics Specialist
Job Title: CQR Engineer - Quality Performance Analytics Specialist

Location: Richmond, Virginia

The Performance Analytics Specialist will be responsible for developing quality-focused dashboards that provide a real-time view of manufacturing performance. These dashboards will play a meaningful role in influencing the culture of quality on the manufacturing floor, supporting change control and change management processes, and ensuring operational clarity across all manufacturing sites.

Key responsibilities:
  • Develop dashboards to supervise the state of quality across manufacturing sites.
  • Build individual manufacturing and operation site dashboards along with a high-level KPI overview for leadership.
  • Track and visualize key metrics for different stages for the pharmaceutical/consumer Quality Assurance & Quality Control process.
  • Quality daily updates, number of findings, equipment utilization, and status updates.
  • Ensure dashboards provide actionable insights to drive process improvements and celebrate achievements.
  • Support integration with current manufacturing systems to improve data accessibility.
  • Design and implement supply chain dashboards to supervise logistics, inventory, and supplier performance.
  • Ensure that data visualization tools help teams understand what they are measuring and why.
  • Work with technology partners to confirm Power BI or other BI tools as the primary platform.
Required Skills
  • A bachelor’s degree in computer science, Information Systems, Data Science, Business Analytics, or related fields.
  • Business Intelligence & Data Visualization:
    Power BI (preferred), Tableau, Qlik Sense.
  • Manufacturing Systems Integration: MES, ERP (SAP, Oracle), QMS.
  • Process Improvement & Quality Management:
    Lean Six Sigma, Statistical Process Control (SPC).
  • Problem-solving, project management, and communication skills are also important in applying these tools optimally.
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