MRO Inventory / Maintenance Materials Data Analyst Needed for 2-Week Validation Sprint

We are looking for a specialized MRO inventory, maintenance materials, or industrial supply chain data analyst to support a short-term, sensitive analysis project. This is not a generic dashboard project. We need someone who has worked with industrial materials, maintenance spare parts, material master data, purchase history, usage/issue history, and inventory stocking logic. We have prior third-party consultant findings related to material usage and purchasing patterns. The objective is not to copy those findings blindly. The objective is to validate the data, identify gaps, analyze usage/spend/frequency/dormancy patterns, and prepare a defensible foundation for internal engineering, operations, procurement, and project review. The work will support a 2-week initial analysis sprint. ***Please see the attached document for the detailed scope of work. Scope of Work The analysis may include: Historical usage by material code Historical spend by material code Purchase frequency Last purchase date Last issue / usage date Items not used in several years Slow-moving or potentially obsolete materials High-spend / low-frequency materials High-frequency recurring materials Potential duplicate or inconsistent material codes Likely recurring demand versus one-time or project-driven demand, where data allows Preliminary inventory segmentation Items that should be reviewed by engineering before any stocking decision Data-quality issues, assumptions, and limitations Executive-ready summary of findings Important Limitation The freelancer will not make final engineering or operational stocking decisions. The freelancer’s role is to prepare the analytical foundation and identify where engineering, operations, procurement, or project input is required. Ideal Candidate Background Please apply only if you have experience with at least several of the following: MRO inventory Maintenance spare parts Industrial materials Material master data SAP MM / SAP PM Maximo Oracle EAM / Oracle inventory ERP or EAM purchasing and inventory data Purchase order history Inventory issue or consumption history ABC / XYZ inventory analysis Slow-moving and obsolete inventory analysis Reorder points, min/max, lead time, safety stock Procurement spend analysis Power BI, Excel, SQL, Python, or R Engineering- or operations-facing inventory projects Please Do Not Apply If Your experience is primarily limited to: Ecommerce inventory Amazon FBA Shopify inventory Dropshipping Warehouse order fulfillment only Generic dashboards without inventory/materials logic Procurement admin support only Machine learning modeling without MRO, ERP, or materials-management experience Data Security and Confidentiality This project involves sensitive company data. The selected freelancer must agree to strict confidentiality and data-handling requirements. The freelancer must agree not to: Share or disclose project information Upload data to unauthorized AI tools, public tools, or third-party platforms Store data in personal cloud drives Contact vendors, consultants, or company stakeholders without written approval Use the project in a portfolio, case study, or marketing material Retain project files after completion Make recommendations outside the approved scope An NDA may be required before any non-sanitized data is shared. Deliverables Expected deliverables may include: Data-quality review and assumptions log Cleaned analysis workbook or structured output file Historical usage analysis Historical spend analysis Purchase frequency analysis Dormant / slow-moving item analysis Potential duplicate material code flags Preliminary material segmentation List of items requiring engineering review Executive-ready summary for leadership Recommended next-step analysis plan Timeline Initial foundation needed within 2 weeks. Applicant Instructions In your proposal, please answer the screening questions below. Generic proposals will not be considered. 1. Describe a project where you analyzed MRO inventory, maintenance spare parts, industrial materials, or ERP/EAM material data. What was your role? 2. Which systems have you worked with: SAP MM, SAP PM, Maximo, Oracle, Ariba, Coupa, or other ERP/EAM/procurement systems? 3. What fields would you need to analyze whether a material should be stocked, bought as needed, treated as a critical spare, or marked for engineering review? 4. How would you separate recurring operational demand from one-time project demand? 5. How would you treat an item that has had no usage in 5 years but may support a critical asset? 6. What is your approach to identifying duplicate or inconsistent material codes? 7. What analysis would you perform before recommending a material as a stocking candidate? 8. What would your 2-week deliverable look like? 9. What tools would you use for this project and why? 10. Confirm that you will not upload project data to public AI tools, personal cloud storage, or third-party platforms without written approval.