Business Analyst – Procurement Analytics & Resilience

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

The Business Analyst – Procurement Analytics & Resilience is responsible for building and scaling data-driven insights across commodities, cost structures, supply risk, and BOM-level intelligence.

This role sits at the intersection of Procurement, Engineering, Finance, and Supply Chain and will enable proactive decision-making through advanced analytics, cost modeling, and risk intelligence.

The analyst will play a critical role in strengthening supply assurance, improving cost competitiveness, and enabling early identification and mitigation of supply and financial risks across the full product lifecycle.

Responsibilities

Develop commodity intelligence models to track pricing trends, supply-demand dynamics, and cost drivers; Support category strategies with data-driven insights on market movements, inflation exposure, and supplier positioning; Analyze supplier behavior, capacity constraints, and allocation risks to inform sourcing strategy; Build and maintain should-cost models across key commodities and components; Perform cost decomposition (materials, labor, overhead, margin) to identify savings opportunities; Support sourcing and negotiation strategies with quantified cost targets and benchmarking; Partner with Finance to align cost assumptions, validate savings, and support ROI-based decision-making; Analyze bill-of-materials (BOM) structures to identify cost, risk, and standardization opportunities; Build scalable BOM health dashboards to improve visibility into component risk and cost optimization opportunities; Identify single-source exposure, lifecycle risks (e.g., EOL), and opportunities for part consolidation or platforming; Support NPI teams with early-stage BOM analytics to drive design-to-cost and supply resilience; Develop component- and supplier-level risk models (single-source, geo, capacity, financial health); Enable proactive risk identification across Tier 1/Tier 2/Tier 3 supply chain layers; Quantify business impact (revenue risk, supply continuity risk) and prioritize mitigation actions; Track mitigation execution (dual-sourcing, LTAs, buffer strategies) and measure effectiveness; Partner with Upstream Resiliency / Program Sentinel initiatives to scale enterprise risk visibility; Build and scale analytics solutions (Power BI, SQL, Python, or equivalent) for real-time visibility; Integrate data across procurement, engineering, planning, and finance systems; Develop executive-level dashboards covering:; Component risk exposure; Cost trends and savings opportunities; Supplier performance and SLA compliance; Drive automation of manual processes (BOM analysis, cost tracking, risk scoring); Partner with Engineering on design trade-offs balancing cost, performance, and supply risk; Collaborate with Category Managers to embed analytics into sourcing decisions; Support NPI, PMO, and Supply Chain teams with insights that influence product readiness and execution; Translate complex data into clear, actionable recommendations for leadership

Requirements

5–8+ years of experience in business analytics, procurement, supply chain, or finance; Strong experience in:; Cost modeling / financial analysis; Data analytics and visualization (Power BI, Tableau, Excel advanced modeling); Understanding of supply chain concepts (BOMs, sourcing, supplier management, cost drivers); Proven ability to work cross-functionally in a matrixed environment; Strong problem-solving skills with ability to translate data into business decisions

Nice to have

Experience in semiconductor, electronics, or direct materials procurement; Exposure to should-cost modeling, teardown analysis, or commodity management; Knowledge of ERP and procurement systems (SAP, Ariba, etc.); Experience with supply risk tools, data platforms, or predictive analytics