Staff Financial Analyst: Product Engagement & Lifecycle Strategy

What you'll do

• Own reporting, forecasting, and planning for engagement metrics, retention cohorts, and lifecycle performance.
• Build cohort and ROI models to evaluate retention, reactivation, and product initiatives; use SQL to validate data and maintain metric integrity.
• Partner across Finance, Product, Data, and other teams to deliver strategic insights and scale reporting workflows.

What they ask for

• 7+ years of experience in FP&A, strategic finance, investment banking, or product analytics; Data Science candidates must show experience applying those skills to Finance and Monetization problems.
• High proficiency in SQL, GSuite/Excel, and data tools.
• Ability to independently navigate complex SQL schemas and use data to answer open-ended business questions.
• Experience building forecasting frameworks incorporating cohort retention, churn logic, and activation velocity.

Nice to have

• Experience leveraging ML-driven models, such as churn propensity or LTV predictions, for forecasting and lifecycle strategy.
• Experience with advanced AI forecasting tools such as Cursor or Jupyter.

Pay

USD 154,000 - 208,500 base salary

Tools

SQL, GSuite/Excel, Databricks, Qlik, Looker, Tableau, Power BI, Cursor

AI focus

Develop ML-driven forecasts using user behavior and propensity models, and champion AI adoption to automate and scale Finance reporting.