Salary
💰 $135,000 - $159,000 per year
About the role
- Develop and maintain core financial data models and reporting to track revenue, costs, and key business metrics
- Conduct deep-dive analyses into business trends, unit economics, and pricing strategies to identify opportunities for growth and efficiency improvements
- Design, build, and maintain data models and pipelines in our business intelligence stack to ensure accurate and timely data for financial analysis
- Collaborate with Engineering, Product, and Finance leadership to inform business strategy, product pricing, and operational investments with robust data insights
- Build and automate reporting that provides continuous insights to the business, empowering stakeholders with self-serve data
- Partner closely with leaders in Strategic Finance, Accounting, Product, Revops, and Engineering
- Own core revenue and cost data models/reporting, drive pricing and package analysis, and bring quantitative rigor to planning, deals, and large renewals
Requirements
- Bachelor's degree in a quantitative field like Finance, Economics, Statistics, Computer Science, or equivalent experience
- 5+ years of hands-on experience in data analysis, data science, revenue analytics, or a related quantitative role, preferably within a finance, fintech, and/or SaaS environment
- A strong command of SQL and a modern data stack (e.g. dbt)
- A foundation in statistical analysis and data modeling techniques
- Proven track record of translating complex business questions into well-defined analytical projects and delivering actionable insights
- Rigorous communication and stakeholder management skills; capable of explaining quantitative concepts to non-technical audiences
- A meticulous, detail-oriented mindset with a passion for solving ambiguous problems