Industrial Engineer II

Hy-Tek; Hebron Estates (KY); On-site; USD 65,000 - 90,000; Full time

Job summary

Hy-Tek is seeking an Industrial Engineer II to collaborate with the Sales Team and Clients to design data-driven solutions using traditional and innovative technologies. You will transform complex datasets into actionable modeling frameworks and develop labor models, ROI analyses, and supporting documents.

You will own data strategy, cleanse and validate large datasets, perform trend and scenario analyses, and build models for storage, throughput, and capacity planning, while communicating

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

Excel

Data analysis

Data cleansing

Supply chain

Communication

Education

Bachelor’s degree in Industrial Engineering or related field

Tools

Microsoft Excel

Data analysis tools

Job description

Supervisor:

Director, Solutions Design Services

Job Purpose:

As part of the Solutions Design Group, the Industrial Engineer II will work in coordination with the Sales Team, other Solutions Design team members , and Clients to design creative data driven solutions that exceed customer expectations utilizing both traditional and innovative technologies. The Industrial Engineer II will assist in concept and solution development by transforming clients’ complex datasets into an actionable modeling framework. Through data exploration, they will determine data quality, cleanse data, complete advanced data analytics, develop flexible models, and document assumptions. The Industrial Engineer II may also assist in creating labor models, ROIs, and a multitude of other support documents.

Essential Duties and 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

Knowledge, Skills, and Abilities:

• 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

WORKING CONDITIONS:

• Ability to travel up to 15% or as needed; willing to work extended hours to support proposal activities
• Working in office, warehouse, and manufacturing facilities
• Working in a stationary position and operating computers for an extended period
• Moving or traversing for an extended period
• Occasional ascending and descending scaffolding and/or mezzanines
• Possible exposure to noise levels exceeding recommended DBA levels

***Job requirements listed indicate the minimum level of knowledge, skills, and/or ability n***ecessary to perform the job proficiently. This job description is not an exhaustive statement of duties, responsibilities, or requirements. Employees may be required to perform other job-related duties as requested by their supervisor, subject to reasonable accommodations. ***