Industrial Data Engineer II: Data-Driven Design & ROI

Hy-Tek Intralogistics; Erlanger (KY); On-site; USD 70,000 - 90,000; Full time

Job summary

Hy-Tek Intralogistics is seeking an Industrial Engineer II to collaborate with Sales and the Solutions Design Group to transform client datasets into actionable modeling frameworks. You will develop data-driven design models for storage, throughput, and capacity planning and build ROI-focused analytical models to estimate labor requirements.

The role requires strong data analytics skills, Python experience, and the ability to communicate insights to technical and non-technical audiences.

Qualifications

• Bachelor’s degree in Industrial Engineering, Data Analytics, or related field.
• 2+ Years’ Experience in the material handling industry, data analytics, or supply chain analytics.
• Proficiency in data analysis tools and Python.
• Proficiency in Microsoft Office applications, with advanced Excel skills.
• Experience working with large datasets, including data cleansing, validation, and transformation.
• Understanding of supply chain, logistics, and material handling systems, with the ability to apply analytical methods to operational challenges.
• Ability to communicate complex analytical insights clearly to both technical and non-technical audiences.
• Strong critical thinking skills and the ability to manage multiple deliverables in a fast-paced environment.
• Self-motivated with the ability to work independently while contributing to collaborative team environments.
• Have a customer first mentality to solve challenges.

Responsibilities

• Own data strategy by identifying data requirements and partnering with clients to source, cleanse, validate and structure large datasets.
• Perform data analysis, including order profiling, trend analysis, and scenario modeling to uncover insights.
• With cross functional team, develop data-driven design models for storage, throughput, and capacity planning.
• Build analytical models to estimate labor requirements, throughput, potential cost savings, and ROI.
• Translate and document analytical findings into clear design criteria and assumptions for internal team and clients.
• Support pre-sales efforts by presenting data-driven insights and models in client design reviews discussions.
• As needed contributor in site visits during the proposal phase with client and pre-sale team to review processes and physical systems or to validate assumptions through observational data collection.

Skills

Python

Data analysis

Excel

Communication

Critical thinking

Independent work

Team collaboration

Customer focus

Education

Bachelor’s degree in Industrial Engineering, Data Analytics, or related field

Tools

Microsoft Excel

Job description

Hy-Tek Intralogistics is seeking an Industrial Engineer II to collaborate with Sales and the Solutions Design Group to transform client datasets into actionable modeling frameworks. You will develop data-driven design models for storage, throughput, and capacity planning and build ROI-focused analytical models to estimate labor requirements.

The role requires strong data analytics skills, Python experience, and the ability to communicate insights to technical and non-technical audiences.