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Lead Integrated Planning Analyst

Posted 12 days agoViewed

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💎 Seniority level: Lead, 9+ years

📍 Location: United States

💸 Salary: 145000.0 - 175000.0 USD per year

🔍 Industry: Cloud or Technology

🏢 Company: CoreWeave💰 $642,000,000 Secondary Market over 1 year agoCloud ComputingMachine LearningInformation TechnologyCloud Infrastructure

🗣️ Languages: English

⏳ Experience: 9+ years

🪄 Skills: SQLBusiness IntelligenceCloud ComputingData AnalysisData visualization

Requirements:
  • 9+ years of experience in integrated business planning, operations analysis, or financial modeling, preferably in a cloud or technology-driven environment.
  • Expertise in data visualization and BI tools (Tableau, Power BI, etc.) to drive insights and reporting.
  • Advanced analytical skills in Excel and SQL
  • Strong communication and stakeholder management skills, with experience driving cross-functional collaboration and influencing senior leadership.
  • Proven ability to design and implement scalable planning processes that drive business growth and efficiency.
  • Ability to simplify complex data insights into actionable business recommendations.
Responsibilities:
  • Establish and own the end-to-end S&OP and S&OE processes, ensuring alignment between long-term strategy and operational execution.
  • Drive continuous improvement initiatives in demand planning, supply optimization, and financial modeling to enhance operational efficiencies
  • Develop scenario planning models to support strategic customers, enabling proactive decision-making and risk mitigation in a dynamic cloud environment.
  • Partner with senior leadership to provide data-driven insights and scenario analyses that support strategic decision-making, optimizing supply-demand alignment and operational scalability
  • Collaborate with cross-functional teams, including finance, operations, sales, and engineering, to enhance integrated planning, forecasting, and resource optimization
  • Establish and refine KPIs, dashboards, and reporting mechanisms to monitor and improve planning effectiveness.
  • Partner with data and tooling teams to enhance and automate planning processes, improving efficiency and data accuracy.
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