Analyst in Network Modeling

About the job

In this role as an Analyst in Network Modeling, you will be an integral part of the Supply Chain Network Optimization team. Your main focus will be to provide senior leadership with data-driven insights, advanced analytics, and simulation models that play a key role in shaping distribution and logistics strategy. *Key Responsibilities:* - Design and automate KPI dashboards for distribution and logistics teams to support cost optimization, service improvements, and performance visibility. - Build and maintain scalable data pipelines and conduct advanced analytics using large datasets from ERP, Snowflake, or AWS Redshift cloud platforms. - Assist in end-to-end network modeling initiatives, which include footprint strategy, warehouse rationalization, transportation optimization, and scenario analysis. - Utilize GenAI, advanced analytics, and machine learning to expedite reporting, analysis, and decision-making processes. *Qualifications Required:* - 3-5 years of experience in data engineering, business intelligence, or supply chain analytics. - Proficiency in SQL, Python or R, Alteryx; Power BI, Tableau, or equivalent, SAP/WMS/TMS. - Understanding of transportation, warehousing, order fulfillment, inventory, and network design concepts with the ability to translate business questions into analytical models and insights. - Effective communication skills with a structured, problem-solving mindset, capable of working independently in a global environment. - Bachelor's or master's degree in engineering (Any branch) or related Data-Analytical streams.

Requirements

• Data engineering
• Business intelligence
• Supply chain analytics
• SQL
• Python
• R
• Alteryx
• Power BI
• Tableau

Qualifications

• Bachelor's or master's degree in engineering
• Any branch or related Data-Analytical streams

Preferred Technologies

• Data engineering
• Business intelligence
• Supply chain analytics
• SQL
• Python
• R
• Alteryx
• Power BI
• Tableau

About the company

At Koch companies, entrepreneurship is encouraged, leading to a culture of challenging the status quo and finding innovative ways to create value. Compensation for roles is estimated based on available market data, and actual amounts may vary based on individual knowledge, skills, abilities, and geographic location. The company aims to provide a work environment that enables employees to unleash their potential and produce superior results, considering both individual work and personal needs.