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# RFQ and Storage Data Analyst

- **Company:** INFOTECH LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Visualization, Excel Formulas, Oracle (Applications), Power BI, SAP (Applications), SQL Databases, Tableau (Software), Data Storage Management, Data Analytics, Data Management
- **Published:** June 26, 2026
- **Apply:** https://www.dice.com/job-detail/6c9aaa9f-f9cd-4602-95da-46b06cb8acd4

## About the Role

* Bachelor's degree in Business Analytics, Supply Chain Management, Data Science, Statistics, or a related quantitative field.
 * 2+ years of experience in data analysis, preferably within procurement, supply chain, or manufacturing environments.
 * Proficiency in data analysis tools such as Microsoft Excel (advanced functions), SQL, and data visualization tools (e.g., Power BI, Tableau).
 * Strong understanding of RFQ processes and supply chain principles.
 * Experience with ERP systems (e.g., SAP, Oracle) is a plus.
 * Excellent analytical, problem-solving, and critical thinking skills.
 * Ability to communicate complex data insights clearly and concisely to technical and non-technical audiences.
 * Self-motivated with the ability to work independently and as part of a team.
 * Strong attention to detail and accuracy.

## Description

The RFQ and Storage Data Analyst at Cyient, Inc. will be responsible for analyzing Request for Quotation (RFQ) data and storage-related information to identify trends, optimize processes, and support strategic decision-making. This role requires a strong analytical mindset and proficiency in data management and visualization., * Collect, clean, and analyze RFQ data from various sources to identify cost drivers, supplier performance, and negotiation opportunities.

 * Develop and maintain dashboards and reports to visualize key RFQ metrics and present findings to stakeholders.
 * Analyze storage utilization, inventory levels, and logistics data to identify inefficiencies and propose optimization strategies.
 * Perform root cause analysis on data discrepancies and implement solutions to improve data quality.
 * Collaborate with procurement, supply chain, and engineering teams to understand data requirements and provide analytical support.
 * Assist in the development and implementation of data-driven models for forecasting and scenario planning related to RFQs and storage.
 * Identify opportunities for process improvement within RFQ and storage management through data analysis.
 * Stay updated on industry best practices and emerging technologies in data analytics and supply chain management.


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