Senior Planning & Analytics Analyst — Hybrid (SF)

Levi Strauss & Co.

San Francisco (CA)

Hybrid

USD 93.000 - 128.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health insurance
401(k) matching
Paid leave
Product discounts

Zusammenfassung

Levi Strauss & Co. is seeking a Sr. Operations Analyst to bridge regional planning and the global team, translating complex data into actionable insights.

You will collaborate with Operations, Planning, and technical teams to improve reporting, streamline processes, and support milestones like S&OP, Buy Reviews, and Go-To-Market execution. Based in San Francisco, this hybrid role requires strong Excel skills, 4+ years in retail planning, and the ability to tell clear stories with data.

Qualifikationen

  • Bachelor's degree in Finance, Operations, Retail Management or Business Management required (or equivalent work experience)
  • 4+ years of experience in: retail merchandise planning, merchandising, demand forecasting; inventory management, allocation or replenishment; financial planning or financial analysis experience
  • Advanced proficiency in Microsoft Excel required (can perform complex functions); can organize and manipulate large quantities of data to guide our decisions
  • Ability to interpret meaningful themes from quantitative data
  • Retail math skills, understanding of forecasting methodology
  • Manage performance while applying complex data to tell clear, relevant stories that influence decisions
  • Promote projects independently, ensuring understanding to broader business strategy
  • Influence partners in a matrixed environment and with senior partners.
  • Challenge the status quo and look for ways to improve processes and results
  • Project management skills, including issue tracking, milestone management, documentation and change adoption

Aufgaben

  • Lead planning operations for Frameworks, IR, Forecast Transmissions, Buy Reviews, S&OP, and CtC milestones and coordinate communication, meetings, and projects to keep critical planning deliverables on track
  • Build planning governance and RACI discipline across important milestones, ensuring clear accountabilities and track decision
  • Manage seasonal planning calendars, timelines, governance, and partner milestones
  • Manage framework planning by creating templates, consolidating inputs, facilitating sessions, and preparing leadership recommendations
  • Create executive-ready analyses, presentations, pre-reads, and reports for IR, S&OP, MBR, and leadership meetings
  • Drive improvement by standardizing workflows, documenting procedures, and scaling planning solutions
  • Facilitate seasonal checkpoints and milestones to align investment goals
  • Analyze global sales performance for assigned categories and sales forecasts against financial targets
  • Present recommendations to shape short- and long-term team goals
  • Partner with Data & Analytics / technical teams to define requirements, validate dashboards, support testing and improve adoption of new planning tools, reporting and AI-enabled capabilities
  • Identify risks, opportunities and trade-offs across forecast, OTB, inventory and sales performance, and translate insights into recommendations for leadership

Kenntnisse

Data interpretation
Data storytelling
Stakeholder influence
Project management

Ausbildung

Bachelor's degree in Finance, Operations, Retail Management or Business Management

Tools

Microsoft Excel

Jobbeschreibung

Levi Strauss & Co. is seeking a Sr. Operations Analyst to bridge regional planning and the global team, translating complex data into actionable insights.

You will collaborate with Operations, Planning, and technical teams to improve reporting, streamline processes, and support milestones like S&OP, Buy Reviews, and Go-To-Market execution. Based in San Francisco, this hybrid role requires strong Excel skills, 4+ years in retail planning, and the ability to tell clear stories with data.

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