Industrial Engineer

As an Industrial Engineer at Porter, you’ll mainly focus on operational demand management, capacity management, and planning & forecasting. You will translate client needs into operational requirements, build capacity models, and lead both short- and long-term operational forecasting, all while collaborating with cross-functional teams to ensure efficiency.

To be considered for the Industrial Engineer role at Porter, you’ll need a Bachelor’s degree in Industrial or Operational Engineering, Operations Research, Applied Math, or a related field. Additionally, 4-8 years of experience in operations, planning, or analytics is essential, along with strong proficiency in Excel and data modeling.

A successful candidate for the Industrial Engineer position at Porter should be familiar with capacity planning tools and forecasting software like Salesforce, Tableau, or Power BI. Moreover, experience in SQL, Python, or R is a plus, ensuring that you can handle data effectively.

The salary for the Industrial Engineer position at Porter ranges from $95,000 to $120,000 per year, commensurate with experience. We offer competitive pay and a comprehensive benefits package, making this an attractive role.

Working at Porter comes with several benefits including a remote work environment, medical, dental and vision benefits within 30 days of hire, paid vacation, sick time, and holidays. Plus, you’ll enjoy being part of a fun and special culture that values teamwork and innovation.

In your response, consider discussing specific examples where you have monitored and analyzed demand trends, developed frameworks to align business needs with operational readiness, and how you have partnered with teams to achieve optimal operational performance.

Be prepared to share the tools you’re proficient in, like Excel, SQL, or forecasting software. Discuss how you've applied these tools in real scenarios to build capacity models and lead forecasting efforts in your previous roles.

Share a structured approach to identifying process inefficiencies through quantitative analysis. Highlight a specific situation where you visualized insights and recommended improvements based on your findings.

Discuss any specific modeling techniques you prefer, and detail how you've used scenario modeling in the past to support planning cycles. Mention the importance of using historical data and business inputs for informed forecasting.

Think of an example that illustrates your communication skills and ability to work collaboratively. Explain the challenge, your approach to soliciting input from stakeholders, and the outcomes achieved through the process.

Talk about specific resources such as industry publications, webinars, or courses you engage with to keep your skills sharp. Highlight a recent trend or technology you’ve adopted in your practice.

Focus on the types of data analysis that directly influence your operational recommendations. Explain how you've used data analytics to drive business decisions or improve operational performance.

Highlight techniques you use for validating and refining your forecasts, such as comparing past forecasts to actual results, or employing statistical methods for increasing accuracy.

Prepare to showcase examples where you've successfully simplified complex data or strategies for stakeholders. Emphasize your communication skills and ability to create clarity.

Reflect on the challenges in operations engineering, such as managing constantly changing demands or aligning cross-departmental goals. Share how you've navigated these challenges successfully.