Supply Chain Analyst

Nscale•Seattle, WA

5d•$100,000 - $130,000•Hybrid

About The Position

We’re hiring a Supply Chain Analyst to serve as the primary analytical counterpart to Supply Chain leadership and help ensure the right hardware is in the right place at the right cost. In this role, you’ll sit close to the Supply Chain team, joining their reviews, understanding decisions in context, and delivering the analyses, scorecards, and reports that inform those calls. You’ll work directly with Supply Chain stakeholders and partner with the Senior Analytics Engineer to access data from the Foundry analytics layer and identify gaps in coverage early. This is not a back-office reporting role. Your work matters because it improves decision-making around GPU and hardware procurement, inventory, and vendor performance—and helps the business act with better information, not just more dashboards.

Requirements

3–5 years of experience in an analytical role
Direct exposure to supply chain, procurement, operations, or a closely related domain
Experience working closely with business stakeholders in decision-making settings
Strong written communication skills, including clear prose and clean tables or charts
Ability to choose the right format for the audience and context
Comfort drawing conclusions from data, not just describing what it shows
Technical capability to work in Foundry or similar data platforms
Working knowledge of SQL or equivalent for data analysis
High attention to detail and discipline in validating numbers before sharing them

Nice To Haves

Cross-business exposure across more than one domain is viewed positively

Responsibilities

Own GPU procurement analytics that support day-to-day Supply Chain decisions.
Maintain vendor scorecards used to assess supplier performance.
Track inventory through reporting that gives the team clear operational visibility.
Attend Supply Chain meetings and reviews to understand decisions as they happen.
Surface the analytical questions most worth answering based on business context.
Flag when data is missing, inconsistent, or incorrect before it affects decisions.
Build clear memos, tables, and summaries that stakeholders can read and act on without a walkthrough.
Translate analysis into structured outputs suited to Supply Chain and C-suite audiences.
Present conclusions that go beyond description and help clarify the "so what."
Partner with the Senior Analytics Engineer to get the data needed from the Foundry analytics layer.
Identify gaps in data coverage early so they can be addressed before they block analysis.
Reconcile figures back to source data before sharing them.
State assumptions explicitly and verify every data point before it goes out.