Operations Research Analyst

Hisense USA•Alpharetta, GA

1d•Onsite

About The Position

Analyze and optimize end-to-end supply chain performance using quantitative models and systems; develop automation solutions, support data-driven decisions, and improve operational efficiency. Specific job duties include, but are not limited to, the following: Analyze end-to-end supply chain delivery and fulfillment performance using SAP, Electronic Data Interchange (EDI), Power BI, and Excel, and track key operational KPIs and performance trends. Prepare weekly and monthly supply chain performance reports using SAP, WMS data, Power BI, and Excel dashboards to identify trends, risks, and improvement opportunities. Analyze order processing, shipment tracking, and exception data using SAP, Order Management System (OMS), Warehouse Management System (WMS) and Transportation Management System (TMS) systems to optimize process performance. Analyze cross-functional supply chain workflow data using SAP, EDI, and system documentation tools to redesign and optimize processes. Develop and implement advanced performance optimization models using Excel modeling, and supply chain analytics tools to improve cost, service level, and warehouse throughput. Lead system integration initiatives involving SAP, OMS, TMS, EDI, Power Automate, and AI-enabled Robotic Process Automation (RPA) solutions. Define system requirements and coordinate full project lifecycle including UAT, deployment, and post-implementation optimization. Design and implement automation solutions to improve data accuracy and operational efficiency. Provide decision-support analysis to senior leadership using advanced analytical and optimization methodologies. Establish enterprise-level performance measurement and automation governance frameworks aligned with organizational objectives.

Requirements

At least a Bachelor’s degree in Operations Research, Industrial Engineering, Data Science or a related discipline involving quantitative analysis, plus minimum Two years of experience working as an Operations Research Analyst, Optimization Analyst, Analytical Strategist, or a closely related position.
Foreign degree equivalent is acceptable.
Any suitable combination of education, training and/or experience.
Minimum Two years of working on data analysis.
KPIs tracking.
Redesign and optimize processes.
Cross-functional.
Risk identification.
Working with SAP system.
Electronic Data Interchange (EDI).
Warehouse Management System (WMS).
Order Management System (OMS).
Working with Power BI.
Excel modeling.
Power Automate.

Nice To Haves

AI-enabled Robotic Process Automation (RPA) solutions.

Responsibilities

Analyze end-to-end supply chain delivery and fulfillment performance using SAP, Electronic Data Interchange (EDI), Power BI, and Excel, and track key operational KPIs and performance trends.
Prepare weekly and monthly supply chain performance reports using SAP, WMS data, Power BI, and Excel dashboards to identify trends, risks, and improvement opportunities.
Analyze order processing, shipment tracking, and exception data using SAP, Order Management System (OMS), Warehouse Management System (WMS) and Transportation Management System (TMS) systems to optimize process performance.
Analyze cross-functional supply chain workflow data using SAP, EDI, and system documentation tools to redesign and optimize processes.
Develop and implement advanced performance optimization models using Excel modeling, and supply chain analytics tools to improve cost, service level, and warehouse throughput.
Lead system integration initiatives involving SAP, OMS, TMS, EDI, Power Automate, and AI-enabled Robotic Process Automation (RPA) solutions.
Define system requirements and coordinate full project lifecycle including UAT, deployment, and post-implementation optimization.
Design and implement automation solutions to improve data accuracy and operational efficiency.
Provide decision-support analysis to senior leadership using advanced analytical and optimization methodologies.
Establish enterprise-level performance measurement and automation governance frameworks aligned with organizational objectives.