Financial Planning & Analysis Analyst

$78,000 - $103,000 yearly
  • SRI International
  • Menlo Park, CA, USA
  • Nov 26, 2019
Full time   Accounting

Job Description

SRI's Corporate Finance group has an immediate opening in our Menlo Park, CA headquarters, for a Financial Planning & Analysis Analyst.  Reporting directly to the Manager of Corporate FP&A, the FP&A Analyst will play an important role in transforming the finance organization to customer-focused, best practices methodology.  The individual will partner across SRI to create and measure against short and long-term financial projections, act in a cross-functional financial and operational support capacity, and work with other SRI organizations to drive sound business decision-making, enhance operating efficiencies, and review/monitor/analyze expenses for profit improvement opportunities.

Responsibilities include:

  • Support the annual budget and quarterly forecasts for G&A departments.
  • Develop monthly financial reports:
    • Budget vs. Actual
    • Forecast vs. Actual
  • Maintain and report on internal corporate projects:
    • IR&D
    • Capital
  • Tracks service center rates and quarterly reports
  • Monitor actual expenditures to ensure proper coding and prepare cost corrections as necessary
  • Assists with procurement and travel approvals
  • Perform ad-hoc analysis and projects as assigned


  • Bachelor's degree in Finance or Business with 1-2 years of relevant finance-related experience (budgeting, forecasting, and corporate financial and performance reporting).
  • S. citizenship required.
  • Experience in GAAP accounting desirable.
  • Experience with Costpoint and Cognos. Adaptive Insight preferred.
  • Expert knowledge of industry practices, advanced techniques and solutions within a professional discipline to develop new standards, processes, and solutions.
  • Able to communicate effectively with internal leadership.
  • Advanced skills in Excel and exceptional analytical and research skills including experience analyzing and manipulating large amounts of financial, competitive, and transactional data.

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