Senior Staff Business Systems Analyst – Demand & Supply Planning (Kinaxis)

What You Can Expect

• Support Kinaxis RapidResponse/Maestro Demand Planning configuration and workflows statistical and ML-based forecasting, demand sensing/shaping, and consensus demand reviews
• Gather requirements, document processes, and perform gap analysis across Demand Planning (forecast accuracy, bias, segmentation, ML model performance, new product forecasting) and Supply Planning (supply-demand balancing, allocation logic, inventory positioning, fulfillment prioritization)
• Partner with demand and supply planners to translate forecasting and supply requirements, hierarchies, and review processes into clear specifications for IT and technical teams
• Support integration and data preparation activities feeding demand signals and supply data into Kinaxis
• Monitor and troubleshoot statistical/ML forecast model outputs (forecast error, bias, outlier handling, model selection) as well as demand hierarchy and supply planning issues (allocation exceptions, sourcing/pegging errors, supply-demand imbalances)
• Support pilots and adoption of AI/ML-based demand forecasting, demand sensing, and supply exception-handling tools
• Document best practices and standard operating procedures for ML forecasting cycles and S&OP/IBP demand and supply reviews, consensus forecasting, and allocation governance
• Perform demand and supply data integrity checks and support forecast/supply governance and process optimization
• Contribute to global transformation initiatives including predictive, statistical, and ML-based forecasting programs

What We're Looking For

Required Qualifications

• Bachelor's degree in Business, Engineering, Computer Science, Supply Chain, Statistics, or related field
• 6+ years of experience in Demand/Supply Chain Planning applications, business systems analysis, or enterprise systems
• 3+ years of hands-on experience with Kinaxis RapidResponse/Maestro, including Demand Planning and Supply Planning modules
• Working knowledge of Demand Planning processes (statistical and ML forecasting methods, demand sensing/shaping, forecast consumption) and Supply Planning processes (allocation, inventory planning, fulfillment)
• Practical understanding of forecast performance measurement - MAPE, bias, outlier handling, and model selection
• Experience with Oracle ERP and data transformation/integration tooling (Talend or similar)
• Working knowledge of SQL, APIs, and ETL/data integration
• Strong analytical and problem-solving skills, with the ability to work effectively across global cross-functional teams

Preferred Qualifications

• Semiconductor or high-tech manufacturing industry experience
• Familiarity with AI-powered or agentic planning tools and prompt-based interfaces
• Experience with Databricks, BigQuery, or comparable cloud data platforms
• Kinaxis certification (Author or Solution Consultant)
• Exposure to demand planning master data hierarchies and data governance

Attributes:

• Curiosity and openness toward AI-assisted planning and ML forecasting workflows
• Ownership mindset and follow-through on committed work
• Ability to translate fluently between planner language and technical requirements
• Comfortable working hands-on in a complex, fast-moving global environment
• Good communication and collaboration skills across business and technology teams

Expected Base Pay Range (USD)

121,490 - 182,000, $ per annum

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.


This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.


Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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