Remote Process Improvement Engineer

Placements24; Newlands; À distance; AUD 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Fully remote position

Competitive salary and bonus

Health, dental and vision insurance

Professional development opportunities

Résumé du poste

Placements24 is seeking a forward-thinking Remote Process Improvement Engineer to analyze and enhance manufacturing operations from a remote location. You will identify inefficiencies, develop solutions, and implement strategies to optimize production processes across geographically diverse teams.

Using data analytics, lean principles, and Six Sigma, you will lead remote projects, map workflows, and document new processes to boost productivity, quality and cost-effectiveness.

Qualifications

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field.
• Lean Six Sigma experience.
• Strong analytical and data-driven approach.
• Experience with process mapping and workflow analysis tools.
• Excellent remote communication and project management skills.
• Ability to influence and drive change across teams and locations.

Responsabilités

• Analyze existing manufacturing processes to identify areas for improvement and optimization.
• Develop and implement strategies based on Lean Manufacturing and Six Sigma principles.
• Utilize data analytics tools to track performance, identify trends, and measure the impact of changes.
• Design and document new processes, procedures, and workflows for enhanced efficiency.
• Collaborate remotely with cross-functional teams, including operations, engineering, and quality assurance.
• Lead and manage remote projects focused on process optimization and cost reduction.

Connaissances

Lean principles

Six Sigma

Data analytics

Process mapping

Remote collaboration

Project management

Formation

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field

Outils

Process mapping tools

Description du poste

About the Role

Our client is seeking a forward-thinking Remote Process Improvement Engineer to analyze and enhance their manufacturing operations. This role will focus on identifying inefficiencies, developing solutions, and implementing strategies to optimize production processes, all managed from a remote location. You will leverage data analysis, lean manufacturing principles, and innovative thinking to drive significant improvements in productivity, quality, and cost-effectiveness. This is a unique opportunity to make a substantial impact on operational excellence across geographically diverse teams, driving change through remote collaboration and strategic guidance.

Key Responsibilities

• Analyze existing manufacturing processes to identify areas for improvement and optimization.


• Develop and implement strategies based on Lean Manufacturing and Six Sigma principles.


• Utilize data analytics tools to track performance, identify trends, and measure the impact of changes.


• Design and document new processes, procedures, and workflows for enhanced efficiency.


• Collaborate remotely with cross-functional teams, including operations, engineering, and quality assurance.


• Lead and manage remote projects focused on process optimization and cost reduction.

Requirements

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related field.


• Proven experience in process improvement methodologies (Lean, Six Sigma).


• Strong analytical and problem-solving skills with a data-driven approach.


• Experience with process mapping and workflow analysis tools.


• Excellent remote communication and project management skills.


• Ability to influence and drive change across different teams and locations.

Benefits

• Highly competitive annual salary and bonus structure.


• Fully remote position offering unparalleled flexibility and work-life balance.


• Comprehensive health, dental, and vision insurance.


• Significant opportunities for professional development and advanced training.


• A culture that values innovation, data-driven decision-making, and continuous improvement.