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Senior Financial Analyst, FP&A

Posted 3 months agoViewed

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💎 Seniority level: Senior, 5 years

📍 Location: CA, NV, OR, WA, Mountain Time Zone, Pacific Time Zone, Mountain Time Zone

💸 Salary: 100000.0 - 128000.0 USD per year

🔍 Industry: Mobile industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising PlatformsBig DataMobile AdvertisingApp MarketingAd RetargetingMobileAd Network

🗣️ Languages: English

⏳ Experience: 5 years

🪄 Skills: Data AnalysisFinancial analysisPowerPoint

Requirements:
  • 5 years of experience in FP&A, strategic finance, business operations or related fields.
  • Robust financial modeling skills, ideally with experience in Tech or other high growth industries.
  • Strong systems aptitude and advanced proficiency in Excel, PowerPoint, and Google Workspace.
  • Experience with NetSuite and Enterprise Performance Management (EPM) tools such as Pigment, Oracle, or Anaplan is preferred.
  • Strong analytical and critical thinking; ability to communicate complex concepts at a high level.
  • Able to manage multiple projects simultaneously with superior attention to detail.
  • Superb communication skills and ability to effectively manage relationships with stakeholders across the business.
  • History of cross functional work with strong relationship management & collaboration.
  • Bachelor’s Degree (MBAs invited to apply; CFA/CPA a plus).
Responsibilities:
  • Operate the monthly, quarterly and annual FP&A processes, including Annual Operating Planning, Monthly forecasts and budget vs actuals analysis.
  • Support headcount planning, modeling, and data-driven decision making to optimize workforce strategies.
  • Prepare monthly and quarterly financial review packages for executive management and the Board of Directors.
  • Structure, build, and maintain complex financial and decision-making models to develop meaningful insights and actionable recommendations.
  • Support senior leadership on ad-hoc research and analysis.
  • Work closely with cross-functional leaders to review, refine, and finalize financial and operating metrics and leverage to forecast accurately.
  • Partner with cross-functional teams to understand data structures, align on definitions and data sources, and build automation of agreed upon metrics.
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