Google

Financial Analyst, Health Finance

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As a Financial Analyst on the Health Finance team, you will support the forecasting process and reporting performance against forecasts. You will work cross functionally to gain a deep understanding of business drivers, surfacing those insights by distilling complexities to present a clear financial picture.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $95000 - $136000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.
  • Prepare monthly reporting packages that include full financial statements, comprehensive KPI reporting, analysis of key business trends, actual versus budget variances and comprehensive executive-level explanations of differences.
  • Support monthly, quarterly and annual financial planning cycles; drive visibility into business performance and resource planning decisions and manage the respective teams’ financial reporting, including development and maintenance of datasets and dashboards.
  • Define and track meaningful metrics to support decision-making across multiple teams. Conduct deep dives when observing abnormal trends; develop and produce regular insightful reports as needed.
  • Collaborate with other functions in ensuring all finance related requirements, including accounting, product/strategy, business development, and operations, are proactively managed.

Minimum qualifications:

  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 2 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.
  • Experience executing full-cycle financial planning and analysis (FP&A) functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:

  • Bachelor's degree in Business, Finance, Economics, Statistics, Accounting, Mathematics, Engineering, Computer Science, or related quantitative field.
  • Well-versed in spreadsheet modeling capabilities.
  • Demonstrated eagerness and bias to action, able to form and leverage strong relationships across functional areas, and sense of urgency.
  • Strong problem-solving, analytics and modeling skills, combined with impeccable business judgment, strategic thinking and ability to communicate with senior business partners.
  • Excellent communications and presentation skills.