Remote Production Data Analyst

Placements24; Mossel Bay; Hybrid; ZAR 360,000 - 720,000; Full time

Job summary

Placements24 in South Africa is seeking a highly analytical Remote Production Data Analyst to collect, clean, and interpret production data across sites, translating insights into actionable recommendations. You will build dashboards with Tableau/Power BI, collaborate with production and engineering teams, and drive efficiency, quality, and cost improvements from a home office.

This fully remote role requires independent work, strong communication, and the ability to manage multiple projects

Qualifications

• Proven experience as a Data Analyst, preferably in a manufacturing or production environment.
• Strong analytical skills with proficiency in data analysis tools (Excel, SQL, Python/R).
• Experience with business intelligence and data visualization tools (Tableau, Power BI).
• Excellent understanding of manufacturing processes and production metrics.
• Ability to work independently and manage multiple projects in a remote setting.
• Strong communication and presentation skills.

Responsibilities

• Collect, clean, and organize production data from various sources (e.g., ERP, MES systems).
• Develop and maintain dashboards and reports to visualize key production metrics and KPIs.
• Analyze production performance data to identify root causes of deviations and inefficiencies.
• Provide data-driven recommendations for process optimization, cost reduction, and quality improvement.
• Collaborate with production and engineering teams to implement data-driven solutions.
• Stay updated with industry best practices and emerging technologies in data analytics and manufacturing.

Skills

Analytical thinking

Remote work discipline

Communication

Presentation

Tools

Excel

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Production Data Analyst to join their expanding operations. In this fully remote role, you will be responsible for collecting, analyzing, and interpreting production data to identify trends, inefficiencies, and opportunities for improvement. You will collaborate closely with production managers and operational teams across different locations to provide actionable insights that drive strategic decision-making. This position is critical for optimizing manufacturing processes, enhancing product quality, and improving overall operational performance, all from the comfort of your home office. We are looking for a proactive individual who can work independently and deliver impactful data-driven recommendations.

Key Responsibilities

• Collect, clean, and organize production data from various sources (e.g., ERP, MES systems).
• Develop and maintain dashboards and reports to visualize key production metrics and KPIs.
• Analyze production performance data to identify root causes of deviations and inefficiencies.
• Provide data-driven recommendations for process optimization, cost reduction, and quality improvement.
• Collaborate with production and engineering teams to implement data-driven solutions.
• Stay updated with industry best practices and emerging technologies in data analytics and manufacturing.

Requirements

• Proven experience as a Data Analyst, preferably in a manufacturing or production environment.
• Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Python/R).
• Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI).
• Excellent understanding of manufacturing processes and production metrics.
• Ability to work independently and manage multiple projects in a remote setting.
• Strong communication and presentation skills, able to convey complex data insights clearly.

Benefits

• Competitive remote salary and performance bonuses.
• Flexible remote work arrangement, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage.
• Opportunities for professional growth and training in data science and analytics.
• Company-provided equipment and a home office stipend.