Senior Financial Analyst, Iaas Workload Health

Oracle Oracle · Enterprise · United States

This role is for a Senior Financial Analyst on the IaaS Workload Health team at Oracle Cloud Infrastructure (OCI). The primary focus is on financial planning, modeling, and optimizing business economics for cloud infrastructure, specifically within the Compute Portfolio. Responsibilities include developing financial models, supporting budgeting cycles, driving cost efficiencies, reporting on gross margins, and conducting ad-hoc analysis on compute costs. The role requires strong analytical and modeling skills, with a data-driven approach to advise OCI Product and Engineering organizations.

What you'd actually do

  1. Develop and refine financial business models, with an emphasis on product level actionable insights including centralized gross margin bridging, and fully burdened cost modeling.
  2. Support Central Rhythm of Business activities (e.g., planning, and budgeting cycles) in line with corporate and business requirements.
  3. Drive cost efficiencies across the organization, with data insight and business partnership with the IaaS leadership team.
  4. Support key gross margin reporting and work streams to provide financial health reporting and important metrics for the IaaS Portfolio.
  5. Lead critical ad-hoc analysis related to compute cost structure, rate analysis, marginal costs, and fleet management.

Skills

Required

  • financial business models
  • financial planning
  • modeling capabilities
  • cost modeling
  • gross margin reporting
  • ad-hoc analysis
  • Bachelor’s degree or equivalent experience with 3-5+ years finance experience
  • strong finance savvy
  • analytical skills
  • attention to detail
  • financial systems
  • core business processes
  • inter-personal communication skills
  • self-starter mentality

Nice to have

  • MBA a plus
  • Prior cloud infrastructure Finance experience desired

What the JD emphasized

  • end-to-end P&L ownership
  • optimize business economics
  • cost efficiencies
  • critical ad-hoc analysis