Cisco Recruitment 2026
Cisco
Key Responsibilities
- Use AI and advanced analytics to improve supply chain processes.
- Apply analytical techniques to identify and manage supply chain risks.
- Support predictive models designed to anticipate potential disruptions.
- Help develop contingency plans based on analytical findings.
- Identify opportunities to improve supply chain efficiency through automation.
- Support the integration of AI and machine learning into supply chain processes.
- Lead or contribute to initiatives that digitize and streamline inventory workflows.
- Define key performance indicators for inventory management.
- Track supply chain and inventory KPIs on an ongoing basis.
- Prepare reports and updates for management.
- Analyze inventory performance and identify trends or anomalies.
- Communicate insights and recommendations to senior stakeholders.
- Work with large and complex datasets to support supply chain decisions.
- Develop scenario analyses and simulations where appropriate.
- Collaborate with internal and external stakeholders in a global environment.
- Support data-driven improvements to inventory planning and supply chain operations.
- Inventory management is central to this position.
- Candidates should understand concepts such as:
- Inventory levels
- Demand forecasting
- Supply and demand matching
- Inventory turnover
- Excess inventory
- Safety stock
- Supply chain risk
- Capacity planning
- A Business Analyst in this environment needs to understand not only the numbers but also the business implications.
- For example, holding too much inventory can increase costs and obsolescence risk, while holding too little can create shortages and affect customer delivery.
- Cisco’s annual reporting also identifies inventory management as an important operational area, noting the need to balance strategic inventory levels against risks such as excess inventory and changing technology demand.
Skills & Eligibility
- Education: Bachelor’s degree in Supply Chain Management, Business Administration, Industrial Engineering, or a related field.
- Experience: 1–4 years of experience in supply chain management.
- Industry: Experience in high-tech and AI-driven industries is preferred.
- Supply Chain: Strong understanding of inventory management and supply chain processes.
- AI/ML: Experience with AI/ML tools and platforms for supply chain optimization is an advantage.
- Excel: Advanced Microsoft Excel skills.
- Programming: Python knowledge is an added advantage.
- Visualization: Familiarity with Power BI and Tableau is preferred.
- Data Mining: Strong ability to extract insights from complex datasets.
- Analytics: Ability to work with models, scenarios, and simulations at a detailed level.
- Communication: Excellent oral and written communication skills.
- Stakeholder Management: Ability to influence and collaborate across a broad global environment.
- Program Management: Strong organizational and program-management skills.
- Problem Solving: Strong analytical and problem-solving capabilities.
- Adaptability: Ability to work independently and adapt as priorities evolve.
- 💡 Pro Tip: AI/ML is explicitly listed among the preferred skills for this role. To strengthen your practical AI skills, check out The AI Engineer Course 2025 before your interview.
- Advanced Excel is explicitly listed as a required technical capability.
- Candidates should be comfortable using Excel for data analysis, reporting, scenario analysis, and KPI tracking.
- Important topics include:
- Pivot Tables
- INDEX/MATCH
- SUMIFS and COUNTIFS
- IF and nested formulas
- Conditional formatting
- Data validation
- Charts and dashboards
- Power Query
- Scenario analysis
- Candidates should be able to work with large tables, identify patterns, and convert raw information into useful management reports.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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