Senior Analytics Engineer

Role Description

We're hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale's GPU procurement and hardware supply chain.

In this role, you'll sit within the Supply Chain Analytics & Automation team and build in Palantir Foundry, creating the output datasets, data models, and reporting products that teams use directly. You'll work closely with Supply Chain, Finance, Capacity stakeholders, the C-suite, and data engineering, serving as the link between business decision-making and the underlying data required to support it.

This is a senior individual contributor role and the first analytics hire on the team, giving you the opportunity to set standards for quality, documentation, and architectural decision-making from the ground up. Your work will shape how critical supply chain decisions are understood, trusted, and acted on as Nscale continues to scale.

What you'll be doing

• Own the analytics layer
• Build output datasets, data models, and reporting products in Palantir Foundry
• Design analytical outputs that business stakeholders can use directly
• Maintain the reporting layer that supports decision-making across the organization
• Partner across technical and business teams
• Serve as the primary interface between the analytics team and data engineering
• Assess what data exists, what shape it is in, and what needs to be built or changed to answer business questions
• Partner with Supply Chain, Finance, and Capacity stakeholders to translate decisions into analytical requirements
• Communicate effectively with both technical and non-technical audiences, including senior stakeholders
• Set quality and operating standards
• Define engineering standards for analytical outputs
• Establish documentation standards, including assumption documentation and version control
• Implement reconciliation checks to ensure analytical outputs are accurate and trusted
• Raise the quality bar for how analytics work is produced and maintained
• Shape the future of the function
• Make architectural decisions that shape the analytics layer as the team grows
• Set expectations for what strong analytical work looks like in a fast-moving environment
• Hire and onboard analysts over time, helping define the foundation for future team members

KPIs

• Quality and reconciliation accuracy of analytical outputs
• Delivery of trusted Foundry datasets, models, and reporting products
• Stakeholder adoption across Supply Chain, Finance, Capacity, and leadership
• Analytics documentation and standards maturity

Qualifications

• 5+ years of experience in an analytics engineering or senior analytics role, including work in at least one production environment at meaningful scale
• Strong experience with SQL, data modelling, and data transformation
• Palantir Foundry experience strongly preferred, with comparable platform experience also considered
• Demonstrated ability to build analytical outputs, datasets, models, and reporting layers used by business stakeholders
• Strong instinct for data quality and a high bar for reconciliation and accuracy
• Experience working across technical and non-technical stakeholders
• Ability to write a clear data spec for engineers and a concise summary for C-suite audiences
• Track record of making strong architectural decisions in fast-moving environments with incomplete requirements
• Background in supply chain, procurement, hardware, or AI/cloud infrastructure is a meaningful bonus

Benefits

• Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months
• Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed
• Expect a dynamic progression plan tailored to your ambitions
• Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments