Job Overview

Cisco is hiring a Business Analyst for its global inventory management team. This hybrid role focuses on improving supply chain inventory processes, using analytics and AI-driven approaches to identify risks, improve efficiency, and support better business decisions. The position works with global partners and hub inventory operations and requires a combination of business analysis, supply chain knowledge, data interpretation, program management, and stakeholder communication.

The successful candidate will help turn supply chain data into practical insights. The role includes monitoring inventory performance, developing and reporting key performance indicators, identifying opportunities for automation, and supporting initiatives that use AI and machine learning to improve supply chain workflows. The position is suitable for an early-career professional with 1 to 4 years of supply chain experience who is comfortable working with data, business stakeholders, and modern analytics tools.

Key Responsibilities

• Analyze supply chain and inventory processes to identify efficiency improvements, operational risks, and opportunities for automation.
• Support the use of AI and advanced analytics to improve inventory management and anticipate potential supply chain disruptions.
• Help develop predictive approaches and contingency planning methods for managing supply chain risks.
• Identify opportunities to digitize and streamline inventory workflows using AI, machine learning, and automation solutions.
• Define, track, and report key performance indicators related to inventory management and supply chain processes.
• Prepare regular performance updates and actionable insights for management teams.
• Analyze operational data to understand process performance, trends, risks, and improvement opportunities.
• Work with internal and external stakeholders across a global environment to understand requirements and communicate business insights.
• Support different analytical models, scenarios, and simulations to understand possible business outcomes.
• Explain the major drivers and implications of analytical findings to senior management in a clear and practical manner.
• Contribute to initiatives that connect business processes, operational metrics, analytics, and technology solutions.
• Adapt to changing priorities as supply chain initiatives and business requirements evolve.

Required Skills

Candidates should have a strong foundation in supply chain management and business analysis, with practical experience in a high-technology or data-oriented environment. Strong analytical and problem-solving ability is important because the role requires working with complex datasets, evaluating different scenarios, and translating findings into useful business recommendations.

Strong Microsoft Office skills are required, particularly the ability to work effectively with Excel, PowerPoint, and Word. Candidates should be comfortable preparing analytical reports, presenting information, documenting findings, and communicating recommendations to stakeholders.

The role also requires strong written and verbal communication skills. Since the team operates in a broad global environment, candidates should be able to work effectively with different stakeholders and communicate technical or analytical information in a way that is easy for business audiences to understand.

Preferred Skills

Experience with AI and machine learning tools or platforms used for supply chain optimization is preferred. Advanced knowledge of Microsoft Excel and practical experience with Python, Power BI, Tableau, and data mining can provide an advantage.

Candidates with experience developing or interpreting analytical models, scenarios, simulations, and supply chain performance metrics are particularly relevant. An understanding of the relationships between business processes and performance measurements is also valuable.

Education

A Bachelor’s degree in Supply Chain Management, Business Administration, Industrial Engineering, or a related discipline is required according to the job description.

Experience

The position requires 1 to 4 years of experience in supply chain management, with a strong focus on high-tech and AI-driven industries. Candidates should be able to demonstrate practical exposure to supply chain processes, analytics, inventory management, or related business functions.

Required Technologies

Relevant technologies and tools mentioned for this position include Microsoft Excel, Microsoft PowerPoint, Microsoft Word, Python, Power BI, Tableau, AI, machine learning, advanced analytics, data mining, predictive models, analytical models, scenario analysis, and simulation tools.

Soft Skills

The ideal candidate should be detail-oriented, self-motivated, analytical, and comfortable working with minimal supervision. Strong communication and influencing skills are important for working with stakeholders across a global organization. The ability to explain complex data and business implications clearly is also essential.

A flexible mindset is valuable because initiatives and priorities can change. Candidates should be enthusiastic about learning new tools and methods, comfortable working in a fast-paced environment, and able to collaborate effectively with colleagues from different functions and locations.

Benefits of Working in this Role

This role provides practical exposure to global supply chain and inventory management processes while combining business analysis with AI, machine learning, automation, and advanced analytics. It can help professionals build experience in data-driven decision-making, KPI management, supply chain risk analysis, and digital process improvement.

The position also offers the opportunity to work with global stakeholders and contribute to initiatives focused on improving supply chain efficiency and visibility. The combination of business knowledge and analytical technology experience can support long-term development in supply chain analytics, business analysis, operations strategy, data analytics, and digital transformation.

Work Mode

The job is listed as Hybrid. The role involves collaboration within a global inventory management team and may require interaction with internal and external stakeholders across different business environments.

Location

The provided job description identifies the position as a hybrid role with Cisco’s global inventory management team. A specific city or state is not stated in the supplied job description.

Who Should Apply

This opportunity is suitable for business analysts, supply chain analysts, inventory analysts, operations analysts, and early-career professionals with 1 to 4 years of relevant supply chain experience. Candidates who have worked with inventory processes, supply chain analytics, KPI reporting, business intelligence, or process improvement should consider applying.

Professionals with exposure to Python, Power BI, Tableau, advanced Excel, AI/ML tools, data mining, predictive analytics, or simulation techniques may have an additional advantage. Applicants should be able to demonstrate both analytical capability and the ability to communicate findings effectively to business stakeholders.

Career Growth

The role can provide a strong foundation for career growth in supply chain analytics, business analysis, inventory management, data analytics, AI-enabled operations, and digital transformation. Experience with global supply chain processes and advanced analytical tools can help professionals move toward specialized analyst, senior business analyst, supply chain analytics, program management, or data-driven operations roles over time.

Application Advice

When applying, highlight relevant supply chain experience and explain the types of inventory, operational, or business problems you have analyzed. Clearly mention your proficiency with Excel and any practical experience with Python, Power BI, Tableau, AI/ML tools, data mining, predictive analysis, scenarios, or simulations.

Use measurable examples where possible to explain how your analysis improved a process, supported a business decision, identified a risk, improved reporting, or contributed to automation. Also emphasize your communication, stakeholder management, analytical thinking, and ability to work effectively in a global environment.