Senior Analyst, FP&A
J
JobgetherFinance
Work remotely from anywhere within Canada.Full-TimeSenior
SalaryCA$72,000–CA$90,000, depending on experience; additional bonus, benefits, and equity may form part of the total compensation package.
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceData AnalysisMicrosoft ExcelData visualizationGoogle SheetsLLM
Requirements
- 5+ years of relevant experience in FP&A, finance, business analytics, or another data-focused role.
- Advanced proficiency in Excel and/or Google Sheets, with the ability to build sophisticated financial models.
- Demonstrated experience working with large, complex datasets and translating them into meaningful insights.
- Strong financial analysis skills, including forecasting, budgeting, variance analysis, SaaS metrics, and performance reporting.
- Experience using data visualization, reporting, automation, or dashboarding tools to improve financial decision-making.
- Practical experience with AI or LLM-powered tools, with an interest in applying emerging technology to finance and analytical workflows.
- Strong communication and storytelling skills, with the ability to translate financial findings into clear business recommendations.
- Excellent attention to detail, analytical judgment, and a proactive approach to identifying issues and opportunities.
- Ability to work independently and effectively in a fast-paced, ambiguous environment while managing multiple priorities.
Responsibilities
- Build and maintain driver-based operating models connected to key business assumptions, including headcount, ARR growth, and pipeline performance.
- Conduct detailed financial analysis covering budgets, forecasts, monthly and quarterly performance, annual planning, and variance analysis.
- Research historical, current, and projected financial data to support planning, forecasting, and management decision-making.
- Champion the adoption of AI and LLM-powered workflows across the finance team by identifying valuable use cases, establishing best practices, and promoting knowledge sharing.
- Apply AI tools to data analysis, insight generation, and financial commentary to improve accuracy, efficiency, and operational effectiveness.
- Develop and maintain automated reporting and dashboards that monitor key SaaS metrics and provide actionable insights to business leaders.
- Partner with Finance and Revenue Operations teams to improve data integrity, consistency, definitions, and reporting across systems.
- Drive improvements to planning processes, reporting cadences, analytical tools, and financial workflows.
- Build strong relationships across the organization, aligning stakeholders around assumptions, metrics, and business narratives.
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