Remote Industrial Engineer - Data Analytics & Modeling

Placements24; Riverton (UT); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Remote work setup support

Continuous learning opportunities

Performance-based bonuses

Job summary

Placements24 is seeking a Remote Industrial Engineer with a strong background in data analytics and process modeling. You will transform raw operational data into actionable insights, build sophisticated models, and drive data-informed decisions in a remote-first environment.

The ideal candidate has 5+ years of industrial engineering experience, expertise in statistical analysis and data visualization, and familiarity with simulation tools like Arena and AnyLogic.

Qualifications

• Bachelor's or Master's degree in Industrial Engineering, Statistics, Data Science, or related quantitative field.
• Minimum 5 years of experience in industrial engineering with a strong focus on data analytics, statistical modeling, and process simulation.
• Proficiency with statistical software (R, Python, SPSS, SAS) and data visualization tools (Tableau, Power BI).
• Experience with simulation software (Arena, AnyLogic) is highly desirable.

Responsibilities

• Collect, clean, and analyze large datasets from operational sources to identify trends and insights.
• Develop and validate advanced process models, simulations, and predictive analytics to optimize performance.
• Design and implement data visualization dashboards to clearly communicate findings to stakeholders.
• Collaborate remotely with operational teams and management to translate business needs 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.

Skills

Statistics

Data visualization

Process simulation

Remote collaboration

Industrial engineering

Education

Industrial Engineering degree

Tools

R

Python

SPSS

SAS

Tableau

Power BI

Arena

AnyLogic

Job 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.