Data Analytics, Quality, and Process Engineer

About

Looking for a self-motivated Data Analytics, Quality, and Process Engineer who is responsible for, but not limited to: procedure documentation, efficiency assessments (process capability, cycle-time, downtime data with impact categorization, and FTC monitoring); DFSS/DMAIC project execution; and implementation of lean process methodologies, continuous quality-improvement strategies, and autonomous mitigation/prevention of test issues aimed at both quality improvements and cost reductions.

Basic Qualifications

• Bachelor of Science degree in Engineering from an ABET accredited university.
• Minimum of 2 years hands-on experience in defining and/or applying process improvement techniques for Key Performance Indicators (Safety, Quality, Delivery, Cost, Morale)
• Experience with full process quality deployment and optimization in a high-paced production or test environment
• Strong communication skills, both verbal and written.
• Experience with engineering standard measurement techniques and tools (MS Office Suite, Minitab, SPC, distributions, etc.)
• Experienced with developing MS -Excel macros
• Proficiency with: DFSS/DMAIC/Six-Sigma and Root-cause analysis tools (PFMEA, 8D, 5S, Kaizen, Gage R&R, ANOVA, ISO-17025)

Preferred Qualifications

• Master of Science degree from an ABET accredited university.
• Experience in project management including MS Project.
• Strong facilitation, mentoring, and coaching skills working with individuals and groups.
• Demonstrated experience communicating effectively to senior level management a plus
• Proficiency with relational databases (i.e. DB2). Ability to understand DB structure and write SQL statements
• Experience with developing code in C/C++ or Java is a plus

Remote

100% Remote