Nscale
AI Infrastructure
DataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analytics Engineer at Nscale. Skills: Data Analytics, Cross-functional analysis, Business intelligence. Float across Supply Chain, Finance, and Capacity. Build analytical products”
What You'll Achieve.
Integrated leadership memos and briefings delivered; Cross-domain business insights surfaced; Data coverage gaps identified; Specialist role needs scoped
Industry & Context.
Analytical threads; Business linkages
What They're Looking For.
Must Have
1-2 years analytics experience, Experience across at least two business domains, Excellent written communication skills, Ability to write effective analytical memos, Comfort operating in ambiguity, Skill in identifying the right analytical question
Nice to Have
Foundry experience, Background in AI infrastructure, GPU supply chain experience, Hardware procurement experience, High-growth operations experience
What You'll Do.
Float across Supply Chain
Build analytical products
Identify connections between procurement
Surface cross-domain insights to leadership
Translate decisions into implications for adjacent functions
Write integrated analytical memos and briefings
Frame complex business questions
Tailor written outputs for different audiences
Present a more complete business picture
Partner to access data
Build datasets and reports
Flag data coverage gaps
Create analytical output with undefined requirements
Help scope specialist roles
Reveal where dedicated analytical capacity is needed
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner with Senior Analytics Engineer
Communication Scope
Clear prose; Structured arguments; Clean visuals; Tailored outputs
Full Job Description
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role We're hiring a Data Analytics Engineer to surface the connections between GPU procurement, capacity planning, cost and margin, and financing decisions across the business. This role sits across Supply Chain, Finance, and Capacity, helping build the analytical threads that link decisions made in each function. Before dedicated specialists are in place across these domains, you’ll extend the team’s reach by creating integrated analysis, partnering with the Senior Analytics Engineer, and helping leadership see the full picture rather than a siloed view. Your work will help turn non-obvious business linkages into clearer, better-informed decisions. This is an opportunity to shape how Nscale thinks across critical parts of the business and to highlight where deeper analytical specialization will have the greatest impact. What you'll be doing Cross-Functional Analysis Float across Supply Chain, Finance, and Capacity to build the analytical products each function needs. Identify non-obvious connections between procurement, capacity, cost structures, margin, and vendor strategy. Surface cross-domain insights to leadership with clear data
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