Business Analyst – Procurement Analytics & Resilience
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.
Key Responsibilities
- Commodity & Market Analytics
- 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.
- Cost Modeling & Financial Analytics
- 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.
- BOM & Part‑Level Analytics
- 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.
- Supply Risk, Resilience & Mitigation
- Develop component‑ and supplier‑level risk models (single‑source, geo, capacity, financial health).
- Enable proactive risk identification across Tier1/Tier2/Tier3 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.
- Data, Tools & Dashboarding
- Build and scale analytics solutions (PowerBI, 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, and supplier performance and SLA compliance.
- Drive automation of manual processes (BOM analysis, cost tracking, risk scoring).
- Cross‑Functional Enablement
- 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.
Required Qualifications
- 5‑8+ years of experience in business analytics, procurement, supply chain, or finance.
- Strong experience in cost modeling/financial analysis.
- Data analytics and visualization (PowerBI, 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.
Preferred Qualifications
- 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.
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender‑related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non‑discrimination policy applies to all aspects of employ