Remote Production Data Analyst

Placements24

Soweto

Hybrid

ZAR 420,000 - 620,000

Full time

6 days ago
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Benefits offered by this job

Remote work
Flexible hours
Health/dental/vision
Professional development
Advanced analytics tools

Job summary

Placements24 in South Africa is seeking a Remote Production Data Analyst to join a manufacturing-focused team. You will collect, clean, and analyze production data, build dashboards, and provide actionable insights to optimize efficiency and quality from your home office.

The ideal candidate holds a quantitative degree, hands-on experience with SQL, Python (Pandas/NumPy), R, and data visualization tools like Tableau or Power BI, and communicates findings clearly to production managers and

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Industrial Engineering, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably in a manufacturing or operations setting.
  • Proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong understanding of manufacturing processes and metrics is a plus.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Collect, clean, and analyze large datasets related to production processes, machine performance, and quality metrics.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
  • Identify trends, patterns, and anomalies in production data and provide actionable insights.
  • Collaborate with production managers and engineers to understand data needs and interpret findings.
  • Recommend data-driven strategies for process optimization, cost reduction, and quality enhancement.
  • Ensure data accuracy and integrity across all reporting and analysis activities.

Skills

SQL
Python (Pandas)
R
Tableau
Power BI
Manufacturing processes

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Industrial Engineering, or related quantitative field

Tools

Tableau
Power BI

Job description

About the Role

Our client, a leading entity in the manufacturing sector , is seeking a sharp and analytical Remote Production Data Analyst to join their dynamic team. This position is fully remote, allowing you to leverage your data expertise to drive improvements in production efficiency and quality from your home office. You will be responsible for collecting, analyzing, and interpreting production data, identifying trends, and providing actionable insights to the operations and management teams. This role is perfect for a data-driven professional seeking to make a significant impact on manufacturing processes in an innovative, remote-first environment, contributing to the success of operations across various locations, including near Soweto .

Key Responsibilities
  • Collect, clean, and analyze large datasets related to production processes, machine performance, and quality metrics.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
  • Identify trends, patterns, and anomalies in production data and provide actionable insights.
  • Collaborate with production managers and engineers to understand data needs and interpret findings.
  • Recommend data-driven strategies for process optimization, cost reduction, and quality enhancement.
  • Ensure data accuracy and integrity across all reporting and analysis activities.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Industrial Engineering, or a related quantitative field.
  • Proven experience as a Data Analyst , preferably in a manufacturing or operations setting.
  • Proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong understanding of manufacturing processes and metrics is a plus.
  • Excellent analytical, problem-solving, and communication skills.
Benefits
  • Competitive salary and remote work benefits.
  • Flexible working hours and location independence.
  • Comprehensive health, dental, and vision coverage.
  • Opportunities for professional development and further training in data science.
  • Chance to work with state-of-the-art data analytics tools in the manufacturing industry .
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