Senior Quality Control Analyst - Data-Driven QC & RCCA

Lockheed Martin; Fort Worth (TX); On-site; USD 73,000 - 135,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Paid time off

Job summary

Lockheed Martin in Fort Worth, TX, is seeking a quality professional to support development of quality plans and procedures for both make and buy items, and to ensure conformance to company and regulatory standards.

You will review quality records, analyze data using statistics, and coordinate with manufacturing, engineering, customers, vendors and subcontractors to ensure process requirements are met and issues are resolved.

Qualifications

• Experience analyzing data
• Experience reading blueprints, engineering specifications and drawings, technical data and planning documents.
• Quality Process and Continuous Improvement knowledge
• Experience with data visualization tool(s) (i.e., Tableau, Business Objects, PowerBI, etc.)
• Data analytics experience
• Experience developing, monitoring and/or reporting metrics.

Responsibilities

• Supports development of quality plans and procedures for make and buy items.
• Reviews quality records to determine data accuracy, acceptability and completeness.
• Interacts with manufacturing, engineering, customers, vendors and subcontractors to ensure process requirements are met.
• Supports disposition and corrective actions for recurring product/process discrepancies.
• Maintains governing procedures related to records control.
• Supports product acceptance and delivery per established process.

Skills

Data analysis

Blueprints & specs

Quality processes

Data analytics

Metrics reporting

Education

Bachelor's degree in related discipline

Tools

Tableau

Business Objects

PowerBI

Job description

Lockheed Martin in Fort Worth, TX, is seeking a quality professional to support development of quality plans and procedures for both make and buy items, and to ensure conformance to company and regulatory standards.

You will review quality records, analyze data using statistics, and coordinate with manufacturing, engineering, customers, vendors and subcontractors to ensure process requirements are met and issues are resolved.