Sr Analyst, Supply Chain Risk & Network Visibility

Intuitive•Sunnyvale, CA

About The Position

The Sr. Analyst, Supply Chain Risk & Network Visibility is responsible for building and advancing visibility into supplier-held inventory and upstream supply chain networks to support supply chain risk management, inventory optimization, and operational decision-making. This role will establish structured data, analytics, and governance frameworks to ensure accurate and actionable insights into supplier inventory positions and commitments. The analyst will also support the development of supplier and sub-tier mapping capabilities to enhance supply chain transparency and compliance. In addition, this role will provide advanced analytics and modeling to support broader supply chain initiatives, including risk mitigation, inventory strategy, and master data governance.

Requirements

4–7+ years of experience in supply chain, operations, analytics, or a related field, with exposure to areas such as inventory management, supplier management, or supply chain risk
Strong analytical and problem-solving skills, with the ability to work with large, complex datasets and translate data into actionable insights
Experience with data analysis and visualization tools (e.g., Excel, SQL, Tableau, Power BI) to support reporting, modeling, and decision-making
Familiarity with supply chain systems and data structures (e.g., ERP systems such as SAP, supplier management platforms like iValua, or similar tools)
Ability to assess data quality, identify gaps, and drive improvements in data governance, standardization, and process design
Strong cross-functional collaboration skills, with the ability to partner effectively with stakeholders across Supply Chain, Planning, Sourcing, IT, and Finance
Excellent communication skills, with the ability to clearly present analytical findings and recommendations to both technical and non-technical audiences
Bachelor’s degree in Supply Chain Management, Operations, Business Administration, Engineering, Finance, Analytics, Economics, or a related quantitative or technical field

Nice To Haves

Experience with supplier network visibility, supply chain mapping, or multi-tier supply chain analysis, including tools or platforms such as Everstream Analytics, Altana, Prewave or similar
Prior experience working with or integrating supplier data sources (e.g., APIs, EDI, supplier portals) to enable real-time or near real-time visibility
Background in inventory strategy, planning, or materials management, including concepts such as safety stock, coverage, and lead time variability
Experience supporting or building data models and governance frameworks for supply chain or master data (e.g., part-site, COO, AML structures)
Familiarity with supply chain risk management (SCRM) concepts, including supplier risk, disruption monitoring, and scenario analysis
Experience with advanced analytics or modeling techniques (e.g., Python, R, or statistical modeling) to support decision-making
Exposure to cross-functional or enterprise systems transformations (e.g., ERP implementations, supplier platform migrations, or data architecture initiatives)

Responsibilities

Develop and maintain a centralized dataset capturing supplier-held inventory (finished goods and raw materials), including contractual requirements and inventory commitments
Assess and rationalize current supplier inventory data sources (e.g., APIs, iValua feeds, manual reporting), identifying gaps, inconsistencies, and opportunities for standardization
Design and implement standardized frameworks and best practices for supplier inventory reporting, visibility, and governance
Build analytics, dashboards, and reporting to monitor supplier inventory attainment, coverage, and alignment to contractual expectations and planning assumptions
Partner cross-functionally with Supply Chain, Planning, Sourcing, IT, and Data teams to improve data quality, integration, and governance related to supplier inventory and master data
Support the development and maintenance of supplier and part-site mapping (Tier-1), including key attributes such as COO, AML, and manufacturing locations
Support the implementation and scaling of a sub-tier supply chain mapping capability, including evaluation of tools, development of data intake processes, and establishment of governance for ongoing maintenance
Perform advanced analytics and modeling to support supply chain risk management, inventory strategy, and operational decision-making