paycor
Industrial Engineer II
Hy-Tek Intralogistics
Remote, USA
Full-time
Entry
Remote
Discovered 1 weeks ago
Free
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- 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
- 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
- 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
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