Financial Analyst, Corporate

Category: Finance Location: Belmont Job ID: 20600 Date Posted: September 2nd, 2020

 

JOB DESCRIPTION:

This person will support world-class financial forecasting, planning, reporting and analysis. This is a fantastic opportunity to join a dynamic, high-growth environment and accelerate their development.  The FP&A team works closely with the CFO and other senior executives to plan the business and allocate resources for the company’s strategic initiatives.  This role will provide the opportunity to join a team of high performers who play key roles in helping to facilitate the company’s rapid growth.

 

Responsibilities

  • Provide Corporate FP&A support for preparing board decks and other key executive presentations
  • Balance sheet and cash flow forecasting
  • Partner with IR to assist in quarterly earnings preparation and guidance
  • Analyze and report on financial results and key metrics – distilling/synthesizing key trends and assessing current and future business risk
  • Participate in strategic data analysis and research and modeling for senior company leadership
  • Provide analytical support for forecasting, budgeting and long-range planning
  • Fulfill ad-hoc analytical requests as needed

 

JOB REQUIREMENTS:

 

  • 3-5 years related experience in financial planning and analysis
  • Bachelor’s Degree in Finance, Economics, Accounting or related field preferred
  • Well versed in accounting with a full understanding of the relationships between financial statements
  • Strong proficiency in Excel (pivot tables, vlookups, etc.) and PowerPoint – building financial and decision support models and reports
  • Clear and effective communication skills, both verbal and written
  • Excellent problem solving and analytical skills
  • Self-starter that adapts well to change in a fast-paced, dynamic workplace
  • Great attitude, willingness to perform and get things done
  • Experience with financial planning systems, Anaplan and NetSuite preferred
  • Comfortable working with large data sets

 

 

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