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Senior FP&A Analyst
Posted 15 days agoViewed
💎 Seniority level: Senior, 4 years
💸 Salary: 128000.0 - 145000.0 USD per year
🔍 Industry: Ecommerce
🏢 Company: Postscript👥 251-500💰 $65,000,000 Series C almost 3 years ago🫂 Last layoff almost 3 years agoSales AutomationAdvertisingE-CommerceSMSEnterprise
🗣️ Languages: English
⏳ Experience: 4 years
Requirements:
- Minimum 4 years of professional financial analyst experience
- Bachelor’s degree in Finance, Accounting, Economics, Business, or related field. Advanced degrees or certifications (MBA, CPA, CFA) are a plus.
- At least 2+ years of experience in Usage-based SaaS.
- Proficiency in Excel/Google Sheets and financial modeling.
- Familiarity with BI tools (e.g., Looker, Tableau, Power BI), database query languages (SQL), and automation languages (Python) is a plus.
- Interest in, or experience with, automation tools (e.g., Power Query, Zapier, or similar) to streamline workflows.
Responsibilities:
- Manage Data Integrity: Oversee the accuracy and completeness of financial data by maintaining and optimizing key tools, integrations, and internal financial systems.
- Support Recurring & Ad-Hoc Deliverables: Support month-end reporting, quarterly forecasts, annual budgeting, and board presentations while providing timely ad-hoc analyses to address immediate needs or special projects.
- Drive Automation & Process Improvement: Identify operational inefficiencies within FP&A processes and leverage technology (including AI) to automate data collection, analysis, and reporting. Develop standardized procedures, define best practices, and refine workflows to accelerate decision-making and deliver deeper financial insights across the organization.
- Cross-Functional Collaboration: Partner closely with Business Intelligence, Accounting, RevOps, Go-To-Market teams, and other internal stakeholders to deliver timely, accurate financial analyses and recommendations that drive informed business decisions.
- Develop & Refine Financial Models: Help to build, maintain, and enhance core financial models for forecasting, scenario analysis, and variance tracking. Collaborate with finance leaders and cross-functional partners to gather inputs, validate assumptions, and translate data into actionable recommendations.
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