Join NetApp as a Business Analyst (Supply Chain & AI/ML)

About NetApp

At NetApp, we are a team of forward-thinking technology enthusiasts with heart. We set our own rules, seize opportunities, and approach every challenge with a fresh perspective. Collaboration and partnership are key—we know when to ask for help and value smart teamwork. Diversity and openness are woven into our DNA, and we celebrate pushing the limits and rewarding great ideas. Are you ready to share yours?

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO

Job Summary: Business Analyst

As a Business Analyst, your analytical expertise will help identify opportunities and make recommendations to enhance our Sales & Operations Planning (S&OP) processes. You will develop forecasting/financial models and demand planning algorithms to boost demand predictability and S&OP plan accuracy. Collaborating with Sales, Product Management, Finance, and Supply Chain Operations, your insights will drive alignment and increase process effectiveness. Your data-driven approach will empower effective decision-making, making our organization more agile, scalable, and efficient.

Success in this role requires a highly analytical, inquisitive self-starter with a deep understanding of the data storage business and configured systems. A passion for solving business problems and strong communication skills are essential.

Key Responsibilities

• Analyze large datasets from various sources to create bookings forecast models for S&OP plans.
• Identify critical data patterns to improve demand predictability and accuracy.
• Run simulations to evaluate the impact of factors like pricing, technology, and capacity on product mix and volume.
• Develop data visualizations and dashboards.
• Coordinate product transitions with cross-functional teams to support revenue targets and mitigate excess & obsolete inventory.
• Facilitate and lead ML/AI capabilities implementation in forecasting.
• Develop and report KPIs using analytical expertise.
• Conduct ad-hoc analysis to identify gaps, risks, and opportunities in the S&OP plan.
• Lead root cause identification and continuous improvement efforts in the S&OP process.
• Provide data-driven insights for operational decision-making such as strategic spend, cost reduction, and supply chain strategy.
• Facilitate S&OP Plan reviews with various functions.
• Assist in optimizing supply and demand by providing demand outlook and risk assessment.
• Lead or participate in supply chain projects from a data analytics perspective.

Job Requirements

• 8+ years of experience in Sales & Operations Planning, Demand/Supply Planning or Supply Chain Operations.
• 3+ years of experience in a data-driven analytical role.
• Strong understanding of ML/AI concepts.
• Proficient in SQL, R, or Python/ML.
• Experienced with data visualization/BI software (Tableau, Power BI, etc.).
• Problem solver and change agent with strong solution-proposing skills.
• Strong rapport-building skills with key stakeholders.
• Excellent organizational and time management skills with the ability to manage multiple priorities.
• Experience with SAP IBP is a plus.

Education

• Bachelor’s degree in Supply Chain, Operations Research, Statistics, Mathematics, or Industrial Engineering. Master’s degree is a plus.
• 7+ years of experience in Demand Planning or Supply Chain Operations.
• 3+ years of experience in building forecasting models.
• Experience implementing and using ML/AI and statistical models in demand planning processes.

Encouragement to Apply

Did you know? Statistics show that women often apply to jobs only when they are 100% qualified. Remember, no one is ever 100% qualified. We encourage you to break this trend and apply! We look forward to hearing from you.

Why NetApp?

NetApp stands out in a world of generalists—we are specialists who elevate the world’s biggest clouds. Data-driven and innovation-empowered,