Data Analytics Engineer

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, inspiring everyone 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 turn non‑obvious business linkages into clearer, better‑informed decisions, shaping how Nscale thinks across critical parts of the business. 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 and structured analysis. Translate decisions made in one part of the business into implications for adjacent functions. Leadership Briefings and Decision Support Write integrated analytical memos and briefings that bring cross‑functional context to key decisions. Frame complex business questions so leadership can evaluate trade‑offs across domains. Tailor written outputs for different audiences, including stakeholders in Supply Chain and Finance. Present a more complete business picture when decisions might otherwise be made with a narrow lens. Data and Analytics Development Partner with the Senior Analytics Engineer to access the data needed from the Foundry analytics layer. Build datasets and reports in Foundry or equivalent platforms to support business analysis. Flag data coverage gaps across Supply Chain, Finance, and Capacity as they emerge. Create useful analytical output even when problem statements or requirements are not fully defined. Team Evolution and Coverage Planning Help scope the specialist roles that will eventually replace generalist coverage across these domains. Use your cross‑functional work to reveal where dedicated analytical capacity is most needed. Extend team coverage during a period before domain‑specific analytical roles are fully established. KPIs Integrated leadership memos and briefings delivered. Cross‑domain business insights surfaced. Data coverage gaps identified across Supply Chain, Finance, and Capacity. Specialist role needs scoped based on cross‑functional analysis. About You 1–2 years of analytics experience, with direct work across at least two business domains. Experience spanning combinations such as supply chain and finance, operations and commercial, or procurement and capacity planning. Strong interest in understanding how different parts of the business connect, rather than going deep in only one area. Excellent written communication skills, including clear prose, structured arguments, and clean visuals. Ability to write effective analytical memos for different functional audiences, including Supply Chain and Finance. Comfort operating in ambiguity and orienting quickly in a new business domain. Skill in identifying the right analytical question without needing a highly detailed brief. Enough technical range to build datasets and reports in Foundry or equivalent platforms. Foundry experience is a bonus. Background in AI infrastructure, GPU supply chain, hardware procurement, or high‑growth operations is a strong advantage. What we can offer you Highly competitive US compensation package (base + bonus + equity) with performance reviews every 12 months. Opportunity to directly shape how global AI capacity is planned and deployed. Dynamic progression plan tailored to your ambitions, with full support from the organization. Human‑first flexibility: a flexible workplace that trusts you to deliver and gives you autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio‑economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Salary Range

$80,000—$110,000 USD

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