Financial Planning & Analysis Manager
New
Remote in the USFull-TimeManager
Salary124,000 - 155,000 USD per year
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Job Details
- Experience
- 8+ years of experience
- Required Skills
- Data AnalysisMicrosoft ExcelFinancial analysisSaaS
Requirements
- 8+ years of experience in financial planning and analysis, corporate finance, or related roles.
- Advanced expertise in financial modeling, forecasting, and planning processes.
- Deep expertise in Excel and FP&A tools such as Adaptive or similar.
- Ability to synthesize complex financial and operational data into strategic insights.
- Strong business acumen and ability to influence senior stakeholders.
- Experience leading planning and forecasting processes.
- Effective executive-level communication and presentation skills.
- Ability to operate independently and drive cross-functional alignment.
- Experience in SaaS or financial technology environments (desired).
- Experience modeling and forecasting revenue and related KPIs such as ARR and NRR (desired).
- Experience improving processes through automation or system enhancements (desired).
Responsibilities
- Own and lead enterprise-wide revenue forecasting processes by developing scalable processes, building relationships with stakeholders, and delivering defensible financial projections.
- Drive accurate forecasting by developing models, validating assumptions, and ensuring alignment with strategic priorities.
- Serve as a subject matter expert by advising stakeholders on forecasts, results and related key performance indicators.
- Provide executive-level reporting by preparing materials and delivering insights for senior leadership and board discussions.
- Support strategic decision-making by conducting scenario analysis and modeling potential outcomes.
- Analyze complex financial and operational data by identifying trends, risks, and opportunities that impact business performance.
- Develop and enhance advanced financial models through automation, scalability, and predictive capabilities.
- Champion and lead development of AI-led processes to drive efficiencies.
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