Industrial Data Analyst and Systems Engineer

Placements24; Soweto; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Remote work

Home office stipend

Health insurance

Retirement plan with company match

Bonuses / profit sharing

Professional development

Flexible holidays

Access to analytical tools

Career growth

Job summary

Placements24 seeks an Industrial Data Analyst and Systems Engineer to leverage data for industrial process improvements and system optimization. This remote-first role reports to a distributed team and requires hands-on data collection, modeling, and governance across the organization.

The ideal candidate combines data science with industrial engineering know-how and can work independently from a home office while collaborating with cross-functional teams to drive operational excellence.

Qualifications

• Bachelor's degree in a quantitative field (Industrial Engineering, Computer Science, Data Science, Statistics, or related).
• Master's degree is highly desirable.
• Minimum 4 years of experience in data analysis, systems engineering, or industrial engineering with a data focus.
• Proficiency in Python or R and SQL.
• Experience with data visualization tools (Tableau, Power BI) and statistical modeling software.

Responsibilities

• Collect, clean, and process large volumes of industrial data from sensors, ERP, and SCADA.
• Develop and implement statistical models and ML algorithms to identify trends and optimize processes.
• Design and maintain data pipelines and databases for storage and retrieval.
• Create data visualizations and dashboards for technical and non-technical stakeholders.
• Analyze system performance metrics and identify efficiency, reliability, and scalability improvements.
• Collaborate with software developers and IT to enhance data collection and analytics tools.
• Develop data quality assurance and governance strategies.
• Identify KPIs and develop reporting mechanisms to track operations.
• Stay current with advancements in data analytics and industrial systems tech.
• Provide technical guidance on data projects and system enhancements.

Skills

Python

R

SQL

Analytical thinking

Education

Bachelor's in quantitative field

Master's preferred

Tools

Tableau

Power BI

AWS

Azure

Job description

About the Role

Our client is seeking a highly analytical and tech-savvy Industrial Data Analyst and Systems Engineer to join their forward-thinking, fully remote team. This critical role focuses on leveraging data to drive improvements in industrial processes, enhance system performance, and provide actionable insights across the organization. You will be responsible for collecting, analyzing, and interpreting complex industrial data sets, developing predictive models, and optimizing the systems that collect and process this information. The ideal candidate possesses a strong blend of data science skills, systems thinking, and a deep understanding of industrial engineering principles. As a remote-first employee, you will work independently and collaboratively with distributed teams, utilizing advanced digital tools to achieve project goals. We are looking for a proactive problem-solver who is passionate about data-driven decision-making and contributing to operational excellence from their home office. This position offers a unique opportunity to shape the future of our client's data strategy and industrial operations, with significant scope for innovation and professional growth in a remote setting. This role is based in Soweto, Gauteng, ZA , but operates entirely remotely.

Key Responsibilities

• Collect, clean, and process large volumes of industrial data from various sources (e.g., sensors, ERP systems, SCADA).
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize processes.
• Design and maintain data pipelines and databases for efficient data storage and retrieval.
• Create insightful data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Analyze system performance metrics and identify opportunities for improvement in efficiency, reliability, and scalability.
• Collaborate with software developers and IT teams to enhance data collection systems and analytical tools.
• Develop and implement strategies for data quality assurance and data governance.
• Identify key performance indicators (KPIs) and develop reporting mechanisms to track operational performance.
• Stay current with advancements in data analytics, machine learning, and industrial systems technology.
• Provide technical expertise and guidance on data-related projects and system enhancements.

Requirements

• Bachelor's degree in Industrial Engineering, Computer Science, Data Science, Statistics, or a related quantitative field.
• A Master's degree is highly desirable.
• Minimum of 4 years of experience in data analysis, systems engineering, or industrial engineering with a strong data focus.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical modeling software.
• Strong understanding of industrial processes, manufacturing operations, and systems engineering principles.
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration skills, adept at working in a remote, distributed team environment.
• Ability to work independently, manage multiple projects, and meet deadlines effectively.
• Knowledge of machine learning techniques and their application in industrial settings.

Benefits

• Competitive annual salary of .
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Performance-based bonuses and profit sharing.
• Generous paid time off and flexible holidays.
• Opportunities for advanced training, certifications, and conference attendance.
• Fully remote work arrangement with a home office stipend.
• Access to state-of-the‑art analytical tools and software.
• A dynamic and supportive remote team culture.
• Potential for rapid career advancement in a growing data‑focused field.