Job Title: Business Analyst – Warehouse & Master Data
Location: Valparaiso, IN
Work Model: Remote with possible travel or Hybrid — onsite Tuesday through Thursday; remote Monday and Friday
Rate: $60–$67/hour
Contract Duration: Through December 31, 2026
Possibility of Extension: To be determined; manager cannot comment on an extension at this time
Employment Type: W-2 Only
Work Authorization: U.S. Citizens Only | Green Card holders also eligible; no visa sponsorship available
Position Overview
We are seeking an experienced Supply Chain Business Analyst – Warehouse & Master Data to support warehouse, inventory, procurement, and supply chain transformation initiatives within a large utility environment.
The primary focus of this role will be warehouse master data cleanup and normalization, along with analysis of inventory and procurement processes, identification of operational and data-quality issues, and development of practical recommendations for improvement.
This individual will work closely with warehouse operations, procurement, Supply Chain, IT, engineering, business stakeholders, and third-party implementation partners to understand current-state processes, identify root causes, validate requirements, and help drive improvements across systems, data, and operations.
The ideal candidate is highly analytical and comfortable working directly with data, business users, and technical teams. They should have practical experience with SAP inventory and order-processing functionality, material master data, warehouse operations, inventory processes, procurement workflows, barcoding, and inventory-tracking technologies.
This role is particularly well suited for someone who can move comfortably between detailed data analysis and stakeholder conversations, adapt quickly as priorities evolve, and translate findings into clear recommendations for both business and technical audiences.
Key Responsibilities
Warehouse Master Data Management
- Lead analysis and cleanup of warehouse and supply chain master data.
- Identify and resolve data-quality issues involving:
- Material descriptions
- Units of measure
- Material attributes
- Compatible units
- Inventory classifications
- Duplicate materials
- Missing or inconsistent data
- Obsolete or inaccurate records
- Support normalization and standardization of warehouse and material master data.
- Identify root causes behind recurring data-quality issues.
- Recommend sustainable processes and controls to improve long-term data integrity.
- Support development of naming conventions, data standards, and material-governance