Staff Financial Analyst: Product Engagement & Lifecycle Strategy (AI/SQL)

Location: Oakland, California, United States or Charlotte, North Carolina, United States

Base pay range: $154,000–$208,500 per year in Oakland

Company

hirify.global is a financial technology platform with products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own financial reporting, forecasting, and planning for DAU, MAU, retention cohorts, and other core engagement metrics.
• Partner with Data Science, Analytics, Engineering, Revenue, Product, and Marketing teams to refine data models, metric definitions, and lifecycle reporting.
• Develop ML-driven forecasts using user behavior, churn propensity, activation velocity, and propensity models.
• Build cohort-based models to evaluate retention, reactivation campaigns, product features, member lifetime value, and ROI.
• Analyze member funnels and unit economics, translating data into strategic recommendations for senior leaders.
• Write SQL queries, validate data, improve forecasting accuracy, automate reporting, and champion AI adoption across Finance.

Requirements

• 7+ years of experience in FP&A, strategic finance, investment banking, or product analytics, ideally in a technology company.
• For candidates with a Data Science background, a proven track record applying Data Science to Finance and Monetization problems is required.
• Experience building forecasting frameworks incorporating cohort-based retention, churn logic, and activation velocity.
• Experience using ML-driven models such as churn propensity and LTV predictions for forecasting and lifecycle strategy.
• High proficiency in SQL, GSuite or Excel, and data tools including Databricks, Qlik, Looker, Tableau, and Power BI.
• Experience with advanced AI forecasting tools such as Cursor and Jupyter.
• Ability to independently navigate complex SQL schemas and answer open-ended business questions without predefined reporting.
• Ability to synthesize data, present concise findings, articulate recommendations to varied stakeholders, and solve problems resourcefully.
• Strong focus on model integrity and output accuracy.

Culture & Benefits

• Cross-functional collaboration across Finance, Data Science, Analytics, Engineering, Revenue, Product, and Marketing.
• Competitive compensation with performance-based cash bonuses, equity rewards, and benefits subject to applicable plans.
• Pay is determined by job-related knowledge, skills, experience, and work location.