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

Marvell Technology


Job Location:

Santa Clara County, CA - USA

Yearly Salary: USD 121490 - 182000
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

About Marvell

Marvells semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise cloud and AI and carrier architectures our innovative technology is enabling new possibilities.

At Marvell you can affect the arc of individual lives lift the trajectory of entire industries and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation above and beyond fleeting trends Marvell is a place to thrive learn and lead.

Your Team Your Impact

Enterprise Business Applications group is responsible to implement and support various applications and tools to support business are looking for an experienced Senior Staff Business Systems Analyst to support enterprise Demand and Supply Planning platforms with primary focus on Demand Planning within Kinaxis RapidResponse/Maestro. This role requires solid functional knowledge of Demand Planning processes (statistical and ML-based forecasting demand sensing demand shaping consensus demand) and working knowledge of Supply Planning (supply-demand matching allocation fulfillment) Kinaxis platform capabilities and enterprise planning ecosystems including Oracle ERP and modern cloud data platforms. Exposure to AI/ML-based forecasting and agentic tooling for planning automation is a plus. You will work with Demand Planning Supply Planning Operations and IT teams to gather requirements support system configuration and drive operational excellence across global planning operations.

What You Can Expect

  • Support Kinaxis RapidResponse/Maestro Demand Planning configuration and workflowsstatistical and ML-based forecasting demand sensing/shaping and consensus demand reviews
  • Gather requirements document processes and perform gap analysis across DemandPlanning (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 requirementshierarchies and review processes into clear specifications for IT and technical teams
  • Support integration and data preparation activities feeding demand signals andsupply data into Kinaxis
  • Monitor and troubleshoot statistical/ML forecast model outputs (forecast errorbias 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 sensingand supply exception-handling tools
  • Document best practices and standard operating procedures for ML forecasting cyclesand S&OP/IBP demand and supply reviews consensus forecasting and allocation governance
  • Perform demand and supply data integrity checks and support forecast/supply governanceand process optimization
  • Contribute to global transformation initiatives including predictive statisticaland ML-based forecasting programs

What Were Looking For

Required Qualifications

  • Bachelors degree in Business Engineering Computer Science Supply Chain Statisticsor related field
  • 6 years of experience in Demand/Supply Chain Planning applications business systemsanalysis or enterprise systems
  • 3 years of hands-on experience with Kinaxis RapidResponse/Maestro including DemandPlanning and Supply Planning modules
  • Working knowledge of Demand Planning processes (statistical and ML forecastingmethods demand sensing/shaping forecast consumption) and Supply Planning processes (allocation inventory planning fulfillment)
  • Practical understanding of forecast performance measurement - MAPE bias outlierhandling and model selection
  • Experience with Oracle ERP and data transformation/integration tooling (Talendor similar)
  • Working knowledge of SQL APIs and ETL/data integration
  • Strong analytical and problem-solving skills with the ability to work effectivelyacross 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)

121490 - 182000 $ per annum

The successful candidates 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 Marvells 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 companys 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 lifes 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 .

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.

#LI-AR3

Required Experience:

Staff IC


About Company

Marvell is empowering the global data economy. Whether at the network core or edge, our leadership technologies make it possible for the world’s data to be processed, moved, stored and secured faster and more reliably. With leading intellectual property and deep system-level knowledge ... View more

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