Sr Data Analyst- Supply Chain Management

About Sierra Space

Sierra Space Careers:
At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth. Sierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond.

Our success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space. We are mission-driven, and together, we are an extraordinary team.

The Lead Supply Chain Data Scientist will drive advanced analytics and data science initiatives to optimize supply chain operations, with a focus on Materials Requirements Planning (MRP) system accuracy, inventory optimization, and production scheduling. This role combines deep supply chain domain expertise with advanced statistical modeling, machine learning, and AI capabilities to transform complex datasets into actionable business insights. The position requires both technical excellence in data science and strategic leadership in supply chain analytics.

Our mission is driven by an unyielding commitment to advancing space-based technology in service of our customers and safeguarding national security. We seek individuals who are passionate about innovating beyond boundaries and relentlessly pursuing solutions that protect, preserve and empower – to join us in this critical mission. We’re looking for team members who align with our values, mission and goals – while also meeting the minimum qualifications below.

The preferred qualifications are a bonus, not a requirement.

• Strategic Analytics & AI Leadership
  • Develop and execute analytics strategies aligned with business and supply chain objectives, translating complex data into actionable insights
  • Apply advanced statistical and machine learning techniques to analyze complex supply chain datasets
  • Develop and scale Generative AI and Agentic AI capabilities, including copilot, RAG, and workflow automation solutions for supply chain applications
  • Drive technical strategy, best practices, AI governance, and adoption of enterprise AI capabilities
  • Generate actionable insights from data analysis to support strategic business decisions
  • Provide data insight to support and improve processes to enhance service quality, efficiency, and customer satisfaction
• Supply Chain Performance & Analytics
  • Develop, manage, and maintain key supply chain performance and financial metrics, including on-time delivery, supplier quality, Purchase Order projections, Goods Receipt projections, Purchase Price Variance trend, and Excess & Obsolescence trend
  • Develop and maintain a Supply Chain Metrics platform for use by leadership at multiple levels of the organization
  • Support the Sales, Inventory, and Operations Planning (SIOP) process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholders
  • Monitor and report on inventory levels, identifying trends, risks, and opportunities for optimization
  • Utilize AI/BI tools to analyze MRP outputs (planned orders, exception messages) and perform what-if simulations to forecast material shortages or excesses
• MRP System Strategy & Optimization
  • Configure, maintain, and optimize MRP parameters (e.g., safety stock, lot sizes, lead times, safety time) within the ERP system (SAP) to maximize service levels while minimizing inventory investment
  • Own the accuracy, performance, and optimization of the Materials Requirements Planning system
  • Analyze large datasets to identify bottlenecks in…