Manufacturing Operations Analyst

Placements24

Soweto

On-site

ZAR 420,000 - 660,000

Full time

10 days ago

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Benefits offered by this job

Competitive salary
Analytics training
Paid time off
Retirement savings plan
Data-driven culture

Job summary

Placements24 in Soweto is seeking a Manufacturing Operations Analyst to collect, analyze, and interpret manufacturing data to drive improvements. You will collaborate with production and engineering teams to identify trends and inefficiencies, recommending solutions that enhance productivity and reduce costs.

The role requires a data-driven mindset with a background in industrial engineering, and offers opportunities to work on dashboards, KPIs, and data-driven decision making within a

Qualifications

  • Bachelor's degree in Industrial Engineering, Statistics, or a related analytical field.
  • Minimum 3 years of experience in data analysis, operations analysis, or manufacturing support.
  • Proficiency in Excel, SQL, and BI tools such as Tableau or Power BI.
  • Strong understanding of manufacturing processes and operations.
  • Excellent analytical, quantitative, and problem-solving skills.
  • Effective communication of findings to stakeholders.

Responsibilities

  • Collect, aggregate, and analyze manufacturing data from various sources to identify trends and patterns.
  • Develop dashboards and reports to track KPIs for manufacturing operations.
  • Identify operational bottlenecks, inefficiencies, and areas for cost reduction.
  • Collaborate with engineering and production teams to implement data-driven improvement strategies.
  • Conduct feasibility studies for proposed process changes and evaluate their potential impact.
  • Support the implementation of new systems and technologies within the manufacturing environment.

Skills

Data analysis
Excel
SQL
Tableau
Power BI
Analytical thinking
Communication

Education

Bachelor's degree in Industrial Engineering
Statistics

Tools

Tableau
Power BI
SQL

Job description

About the Role

Our client is seeking a diligent Manufacturing Operations Analyst to join their team in Soweto . This role focuses on collecting, analyzing, and interpreting manufacturing data to drive operational improvements and inform strategic decision-making. You will work closely with production and engineering teams to identify trends, pinpoint inefficiencies, and recommend solutions that enhance productivity, reduce costs, and improve overall operational performance. This is a fantastic opportunity for a data-driven individual with a background in industrial engineering to make a tangible impact on manufacturing processes.

Key Responsibilities
  • Collect, aggregate, and analyze manufacturing data from various sources to identify trends and patterns.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) for manufacturing operations.
  • Identify operational bottlenecks, inefficiencies, and areas for cost reduction.
  • Collaborate with engineering and production teams to implement data-driven improvement strategies.
  • Conduct feasibility studies for proposed process changes and evaluate their potential impact.
  • Support the implementation of new systems and technologies within the manufacturing environment.
Requirements
  • Bachelor's degree in Industrial Engineering , Statistics, or a related analytical field.
  • Minimum of 3 years of experience in data analysis, operations analysis, or manufacturing support.
  • Proficiency in data analysis tools such as Excel, SQL, and potentially BI software (e.g., Tableau, Power BI).
  • Strong understanding of manufacturing processes and operations.
  • Excellent analytical, quantitative, and problem-solving skills.
  • Effective communication skills for presenting findings to stakeholders.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional development and analytics training.
  • Generous paid time off and retirement savings plan.
  • A supportive team environment focused on data-driven decision-making.
  • Exposure to various aspects of manufacturing operations.
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