Business Analyst - Supply Chain

Overview

Support end-to-end cost operations for Cisco's Global Supplier Management organization, using analytics, process discipline and digital tools to help commodity teams make faster decisions.

What you'll do

• Support cost processes through supplier RFQ management, including costing and quoting activities for assigned commodities.
• Perform quote analysis and provide support for quote closure.
• Use GenAI tools and automation to extract data from supplier quotes, summarize component terms and help digitize workflows.
• Perform cost and sourcing analytics, including scenario planning, variance analysis and data-driven insights to identify gaps and address business challenges.
• Apply predictive and analytical methods to anticipate pricing trends and potential supply risks within the quote cycle.
• Build and maintain actionable dashboards in Power BI or Tableau to track cost operations metrics for senior leadership.
• Partner closely with commodity managers, supply chain teams, suppliers and manufacturing partners across a global environment.

What you'll need

• Bachelor's degree in Supply Chain Management, Industrial Engineering, Business Analytics, Finance, Operations Research, or a related quantitative field.
• 2-4 years of hands-on experience in hardware supply chain analytics, cost engineering or direct material procurement.
• Demonstrated proficiency in Microsoft Excel for data analysis and modeling, including pivot tables, nested formulas, XLOOKUP / INDEX-MATCH and handling multi-tab datasets.
• Working knowledge or project-based experience developing dashboards and reports in Power BI or Tableau.
• Foundational experience utilizing Generative AI tools.

Nice to have

• Direct domain knowledge of supply chain costing concepts, Bill of Materials (BOM) structures, Purchase Price Variance (PPV) or manufacturing quoting dynamics.
• Strong problem-solving acumen with experience in synthesizing massive multi-source datasets into crisp executive narratives, variance bridge models and actionable negotiation insights.
• Familiarity with semiconductor or hardware commodity market dynamics.
• High learning agility, curiosity about emerging AI technologies and a proactive mindset toward process improvement.

Details

• Location: Bangalore, India.