Remote Industrial Engineer - Data Analytics & Modeling
Fully remote industrial engineering role focused on turning operational data into insights: collecting and analyzing datasets, building process models, simulations, and predictive analytics, and creating dashboards for stakeholders. Core tools include R/Python (or SPSS/SAS), Tableau/Power BI, and simulation software such as Arena or AnyLogic.
- Compensation
- Not disclosed
- Location
- Upington, South Africa
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's or Master's degree in Industrial Engineering, Statistics, Data Science, or a related quantitative field
- Minimum 5 years of experience in industrial engineering with focus on data analytics, statistical modeling, and process simulation
- Proficiency in statistical software packages (e.g., R, Python, SPSS, SAS)
- Proficiency in data visualization tools (e.g., Tableau, Power BI)
- Strong understanding of industrial engineering principles and manufacturing processes
- Excellent analytical, problem-solving, and critical thinking skills
- Exceptional communication and interpersonal skills for effective remote collaboration
- Proven ability to work independently, manage time effectively, and meet deadlines in a remote setting
Nice to have
- Experience with simulation software (e.g., Arena, AnyLogic)
Full description
About the Role
Our client is seeking a talented and analytical Remote Industrial Engineer to join their team, focusing on data analytics and process modeling. This position is fully remote, offering the flexibility to work from your preferred location. You will play a key role in transforming raw operational data into actionable insights, developing sophisticated process models, and driving data-informed decision-making across the organization. The ideal candidate will have a strong foundation in industrial engineering principles combined with advanced skills in statistical analysis, simulation, and data visualization. This is an excellent opportunity for a data-savvy engineer to contribute to process optimization and strategic planning in a dynamic, remote-first environment.
Key Responsibilities
Collect, clean, and analyze large datasets from various operational sources to identify trends and insights. Develop and validate advanced process models, simulations, and predictive analytics to optimize performance and resource utilization. Design and implement data visualization dashboards to effectively communicate findings to stakeholders. Collaborate remotely with operational teams and management to understand business needs and translate them into analytical projects. Identify opportunities for process improvements based on data analysis and modeling results. Develop and maintain databases and data management systems for operational data. Stay current with advancements in data analytics, statistical modeling, and simulation techniques. Document methodologies, findings, and recommendations clearly and concisely. Support continuous improvement initiatives by providing data-driven recommendations.
Requirements
Bachelor's or Master's degree in Industrial Engineering, Statistics, Data Science, or a related quantitative field. Minimum of 5 years of experience in industrial engineering with a significant focus on data analytics, statistical modeling, and process simulation. Proficiency in statistical software packages (e.g., R, Python, SPSS, SAS) and data visualization tools (e.g., Tableau, Power BI). Experience with simulation software (e.g., Arena, AnyLogic) is highly desirable. Strong understanding of industrial engineering principles and manufacturing processes. Excellent analytical, problem-solving, and critical thinking skills. Exceptional communication and interpersonal skills for effective remote collaboration. Proven ability to work independently, manage time effectively, and meet deadlines in a remote setting. This is a fully remote position.
Benefits
Our client offers a competitive salary package, commensurate with expertise in data analytics and modeling, and potential for performance-based bonuses. Benefits include comprehensive health coverage, retirement savings options, and support for remote work infrastructure. Employees have access to continuous learning and development opportunities, including advanced training in data science, analytics, and modeling software. Our client promotes a culture of innovation and data-driven decision-making, providing a platform for engineers to make a significant impact remotely. This role offers the flexibility and autonomy of remote work while contributing to critical business insights.