Remote Data Analytics Graduate - Build Insights & Dashboards

Placements24; South Africa; Remote; ZAR 550,000 - 750,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Fully remote

Professional development

Job summary

Placements24 seeks a Remote Industrial Engineer with expertise in Data Analytics to drive operational insights across industrial processes, supply chains, and manufacturing operations. You will work with large datasets, build analytical models, and translate findings into actionable strategies for remote teams and stakeholders.

The role emphasizes a data-driven approach, forecasting, and optimization, with a fully remote work arrangement and opportunities for professional development.

Qualifications

• Master’s degree in Industrial Engineering or related quantitative field.
• Minimum 4 years of experience in industrial engineering or data analysis.
• Proficiency in data analytics, statistical modeling, and predictive analytics.
• Strong Python, R, SQL and data visualization skills.

Responsibilities

• Collect, clean, and analyze large datasets from various industrial operations to identify trends, patterns, and inefficiencies.
• Develop and implement statistical models and ML algorithms to forecast demand, optimize resources, and predict failures.
• Design interactive dashboards and reports to visualize KPIs and communicate insights remotely.
• Apply data analytics techniques to optimize production scheduling, inventory management, and logistics.
• Collaborate with cross-functional teams to define data requirements and implement data-driven solutions.
• Stay current with advancements in data analytics tools and methodologies and apply them to industrial problems.

Skills

Data analytics

Python

R

SQL

Tableau

Power BI

Statistical modeling

Forecasting

Education

Master's degree in Industrial Engineering

Data Science

Statistics

Tools

Python (Pandas, NumPy)

SQL

Tableau

Power BI

R

Job description

Our client is seeking a specialized Remote Industrial Engineer with a strong background in Data Analytics to drive operational insights and improvements from anywhere. This role is crucial for leveraging data to understand, predict, and optimize industrial processes, supply chains, and manufacturing operations. You will work with vast datasets, develop analytical models, and translate complex findings into actionable strategies for remote teams and stakeholders. This is an exciting opportunity for a data-driven engineer who thrives in a virtual setting and is passionate about using analytics to solve complex industrial challenges and enhance business performance.

About the Role

Our client is seeking a specialized Remote Industrial Engineer with a strong background in Data Analytics to drive operational insights and improvements from anywhere. This role is crucial for leveraging data to understand, predict, and optimize industrial processes, supply chains, and manufacturing operations. You will work with vast datasets, develop analytical models, and translate complex findings into actionable strategies for remote teams and stakeholders. This is an exciting opportunity for a data-driven engineer who thrives in a virtual setting and is passionate about using analytics to solve complex industrial challenges and enhance business performance.

Key Responsibilities

• Collect, clean, and analyze large datasets from various industrial operations to identify trends, patterns, and inefficiencies.
• Develop and implement statistical models and machine learning algorithms to forecast demand, optimize resource allocation, and predict equipment failures.
• Design and build interactive dashboards and reports to visualize key performance indicators (KPIs) and communicate insights to stakeholders remotely.
• Apply data analytics techniques to optimize production scheduling, inventory management, and supply chain logistics.
• Collaborate with cross-functional teams to define data requirements and implement data-driven solutions for operational challenges.
• Stay current with advancements in data analytics tools and methodologies and apply them to industrial engineering problems.

Requirements

• Master's degree in Industrial Engineering , Data Science, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in industrial engineering or data analysis, with a focus on industrial applications.
• Proven expertise in data analytics , statistical modeling, and predictive analytics.
• Proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy), R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of industrial processes, manufacturing, and supply chain operations.
• Excellent problem-solving skills and the ability to communicate complex technical information effectively in a remote environment.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Fully remote work arrangement, providing excellent flexibility.
• Opportunities for continuous professional development and specialized training in data science and analytics.
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