Engineering Specialist - Analytics

Primary Function

The Engineering Specialist - Analytics leverages statistical modeling and data analysis to optimize manufacturing processes.

Duties & Responsibilities

• Data Analysis & Modeling: Execute statistical analysis on large datasets to determine process capabilities (Cpk and Ppk) and identify variance drivers.
• Project Lifecycle Management: Plan and execute assigned projects, defining scope and methodology under the guidance of senior engineering staff.
• Testing & Validation: Design and conduct controlled experiments (DOE); analyze results to validate process changes and prepare technical reports for leadership.
• Cross-Functional Problem Solving: Identify systemic production bottlenecks; collaborate with Quality, Operations, and Maintenance teams to implement root-cause solutions.
• Continuous Improvement: Champion Lean and Six Sigma initiatives by delivering measurable improvements in yield, cycle time, and cost reduction.
• Process Monitoring: Assist in the deployment of real-time monitoring tools and dashboards (e.g., SPC) to ensure ongoing adherence to specifications.
• Safety & Compliance: Ensure all analytical activities comply with safety standards; may assist in the proper handling and documentation of hazardous waste as required.

Qualifications & Skills

• Required:
• Education: Bachelor’s degree (Industrial Engineering, Mathematics, or Data Science preferred).
• Technical Proficiency: Strong foundation in engineering principles and statistical software (e.g., Minitab, JMP, or Python/R).
• Communication: Ability to translate complex data sets into clear, executive-level summaries and presentations.
• Preferred Qualifications:
• Experience with Six Sigma Green Belt or Lean manufacturing methodologies.
• Familiarity with Power BI, Tableau, or similar dashboarding tools.
• Proven ability to manage multiple priorities and meet project milestones on time.

EEO Statement

Kyocera-AVX is an Equal Opportunity Employer, M/F/D/V: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or status as a protected veteran.