Industrial Engineer in Kimberley

Industrial Engineer in Kimberley

Kimberley Full-Time 65430 - 79970 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyze workforce needs and optimize staffing for maximum productivity.
  • Company: Dynamic company in Kimberley focused on workforce planning and efficiency.
  • Benefits: Competitive salary, medical insurance, retirement plan, and professional development opportunities.
  • Other info: Enjoy a balanced hybrid work model with opportunities for career growth.
  • Why this job: Shape workforce strategies and make a real impact in a growing company.
  • Qualifications: Bachelor's degree in Industrial Engineering or related field with 5 years of experience.

The predicted salary is between 65430 - 79970 $ per year.

About the Role

Our client, based in Kimberley, is seeking an Industrial Engineer to focus on workforce planning and productivity enhancement.

This crucial role involves analyzing labor requirements, optimizing staffing levels, and implementing strategies to maximize employee output and efficiency.

You will work closely with HR and operations management to develop effective workforce models, improve scheduling, and foster a culture of high performance.

This hybrid position allows for a blend of on-site engagement in Kimberley and remote work flexibility.

The ideal candidate will have a strong background in industrial engineering methodologies applied to human resources and operational efficiency.

Key Responsibilities

  • Analyze current workforce needs and forecast future labor requirements based on production demands.
  • Develop and implement optimal staffing models and schedules to ensure adequate coverage and efficient labor utilization.
  • Conduct time and motion studies to establish labor standards and identify productivity improvement opportunities.
  • Design and implement initiatives to enhance employee productivity, ergonomics, and safety.
  • Collaborate with HR and operations management on recruitment, training, and performance management strategies.
  • Analyze labor costs and identify opportunities for cost reduction without compromising quality or output.
  • Develop and maintain standard operating procedures (SOPs) related to workforce management.
  • Utilize data analytics to track key productivity metrics and provide regular reports to management.
  • Implement best practices in workforce planning and productivity management.
  • Facilitate training sessions on productivity improvement techniques for staff and supervisors.

Requirements

  • Bachelor's degree in Industrial Engineering, Business Administration, or a related field.
  • Minimum of 5 years of experience in industrial engineering, with a focus on workforce planning, labor productivity, or operations management.
  • Proven experience in developing and implementing staffing models and productivity improvement programs.
  • Strong analytical and problem‑solving skills.
  • Proficiency in workforce planning software, scheduling tools, and data analysis techniques.
  • Excellent communication, negotiation, and interpersonal skills.
  • Experience with Lean Manufacturing or Six Sigma principles is a plus.
  • Ability to manage projects and work collaboratively in a hybrid environment.
  • Must be able to work from the Kimberley office on designated days.

Benefits

  • Competitive annual salary up to R .
  • Comprehensive medical and dental insurance.
  • Retirement savings plan with employer contribution.
  • Opportunities for professional development and certifications in workforce analytics.
  • Generous paid leave policy.
  • A key role in shaping workforce strategies for a growing company in Kimberley.
  • A balanced hybrid work model.
  • #J-18808-Ljbffr

Industrial Engineer in Kimberley employer: Placements24

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Contact Details:

Placements24 Recruitment Team

We think you need these skills to ace Industrial Engineer in Kimberley

Workforce Planning
Productivity Enhancement
Labor Requirement Analysis
Staffing Models Development
Time and Motion Studies
Employee Productivity Improvement
Data Analytics