Data Analyst (Manufacturing Intelligence)

Placements24; Soweto; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Remote-friendly culture

Professional development

Bonus opportunity

Health benefits

Job summary

Placements24 is seeking a Data Analyst specializing in manufacturing intelligence to join a globally distributed, remote team. You will extract, analyze, and interpret complex manufacturing data from operations to uncover actionable insights that drive process improvements and cost reductions.

You will build dashboards with Power BI/Tableau, perform statistical analyses, and collaborate with operations and engineering to deliver data-driven decisions for worldwide manufacturing processes.

Qualifications

• Bachelor's degree in a quantitative field.
• ,
• Proven experience as a Data Analyst with manufacturing focus.
• Proficiency in SQL for data extraction and manipulation.
• Experience with Power BI, Tableau or QlikView.
• Strong analytical and statistical modeling skills.
• Familiarity with Python or R for data analysis.

Responsibilities

• Collect, clean, and transform large datasets from manufacturing systems.
• Develop and maintain dashboards and reports to track KPIs.
• Perform statistical analyses to identify trends and correlations.
• Collaborate with operations and engineering to understand data needs.
• Communicate findings clearly to technical and non-technical stakeholders.
• Contribute to predictive model development for process optimization.

Skills

SQL proficiency

Statistical analysis

Data visualization

Strong communication

Python/R basics

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field

Tools

Power BI

Tableau

QlikView

Python

R

SQL

Job description

About the Role

Our client, a pioneer in data-driven manufacturing, is seeking a talented Data Analyst with a specialization in manufacturing intelligence to join their globally distributed team. This is a completely remote position. You will play a crucial role in extracting, analyzing, and interpreting complex data from manufacturing operations to uncover actionable insights that drive process improvements, enhance efficiency, and reduce costs. This role requires a blend of technical data skills and a solid understanding of industrial processes. You will empower decision-making through insightful data representation and analysis for our worldwide operations.

Key Responsibilities

• Collect, clean, and transform large datasets from various manufacturing systems (e.g., SCADA, MES, ERP).
• Develop and maintain dashboards and reports using data visualization tools (e.g., Power BI, Tableau) to track key performance indicators (KPIs).
• Perform statistical analysis to identify trends, patterns, and correlations within manufacturing data.
• Collaborate with operations and engineering teams to understand data needs and provide analytical support.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
• Contribute to the development of predictive models and data-driven strategies for process optimization.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Proven experience as a Data Analyst , with a focus on manufacturing or industrial data analysis.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Power BI, Tableau, QlikView).
• Strong analytical and statistical modeling skills.
• Familiarity with programming languages like Python or R for data analysis is a plus.
• Excellent communication skills for explaining complex data insights in a remote setting.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision benefits.
• Significant opportunities for professional development and skill enhancement.
• A fully remote work environment that promotes flexibility and work-life balance.
• The chance to work with advanced manufacturing data and influence strategic decisions.