Meta - Menlo Park, CA

posted about 2 months ago

Full-time - Mid Level
Menlo Park, CA
5,001-10,000 employees
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About the position

The Finance Business Operations Manager for Infrastructure at Meta plays a crucial role in analyzing and modeling the return on investment (ROI) of the company's infrastructure capacity decisions. This position is integral to the Finance Capacity team, which advises on capacity allocation to meet strategic and financial objectives. The role requires a blend of quantitative analysis, cross-functional collaboration, and the ability to influence financial decision-making through actionable insights.

Responsibilities

  • Own and lead projects end-to-end, in partnership with data science, finance, Infra or cross-functional teams to inform and influence capacity investment decisions.
  • Build frameworks to analyze business implications, influence measurement standards and extrapolate experiment results into highly accurate and explainable forecasts.
  • Navigate complex cross-functional situations and evaluate analyses to reach alignment on objective business outcomes.
  • Influence financial and product direction through clear and compelling presentations, including to leadership.

Requirements

  • 5+ years of experience in quantitative analysis or predictive modeling to inform business/financial strategy.
  • BA/BS in quantitative field (data science, computer science, economics, finance, etc.) or equivalent degree/experience.
  • Effective collaboration, business communication and project leading skills - you have a track record of being viewed as an analytics thought leader by business partners in solving complex cross-functional problems.
  • Work experience in the infrastructure and/or capacity domain areas.
  • Expert-level skills in extracting and manipulating large datasets using data querying languages (e.g. SQL) and turning the data into actionable insights.

Nice-to-haves

  • Highly self-motivated and results oriented - you're willing to go the extra mile to drive impact.
  • Proven track record in synthesizing analytical insights to influence decision-making through data-centric presentations, and communicating effectively across business and technical domains (including to executive audiences).
  • Advanced degree in a quantitative field.
  • Experience in scripting languages (e.g. Python), and/or statistical software (e.g. R).

Benefits

  • Bonus
  • Equity
  • Health insurance
  • Paid holidays
  • Flexible scheduling
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