Senior Data Analyst
Nomi Health
PythonSQLTableau
Salary
💰 $70,700 - $106,100 per year
Job Level
JuniorMid-Level
Tech Stack
PythonSQLTableau
About the role
- Serve as the business matter expert in the area of supply chain and will be responsible for managing multiple projects for supply chain modeling and analysis. Provides analytical support to facilitate decision making within Supply Chain Organization. Leverages analytical skills to assist in supply chain modeling and analysis in the context of Category Management, Large Multi-Chain Customers, Transportation Networks, Inventory Management & Forecasting, Steady State Optimization, and other ad-hoc analysis requests. Work with external and internal customers on various projects to propose an optimized future state supply chain or provide analytical support.
Requirements
- Bachelor’s Degree in Business Administration (Operations Management/Supply Chain Management/Distribution and logistics), Industrial Engineering, Economics, Statistics, Computer Science, Finance, or a closely related field. 2+ year of analytical experience, preferable in a high volume, multi-location, distribution environment. 1+ years of hands-on experience and knowledge of SQL 1+ years of experience in performing analyses in R/Python or other structured programming language Experience conducting quantitative analyses on large datasets, i.e. in Excel 1+ years of experience in Tableau or other BI/visualization tools for both ad-hoc analyses as well as dashboard production 1+ years of experience in performing supply chain modeling leveraging optimization tools: Llamasoft, JDA i2 etc Collaborative team player who can synthesize feedback and direction from multiple stakeholders Ability to participate in multiple workstreams/projects in a fast-paced environment, adapting to shifting priorities and deadlines Supply chain network modeling experience (Llamasoft or similar tools) Analytical experience in logistics (Freight Procurement, Routing, Resource Selection etc.) Analytical experience in Demand Planning and Inventory Management
