Analyst, Strategic Finance

Responsibilities

• Build and maintain driver-based revenue models, workload P&Ls, unit economics, and pricing models for product workloads.
• Run monthly and quarterly forecast cycles, plan vs. actual attribution with driver-based variance breakdowns, and Quarterly Business Review data packs.
• Translate product usage, customer behavior, cohort and funnel dynamics, and financial data into clear insights and recommendations for Product and leadership partners.
• Conduct pricing and monetization analysis, including unit economics, willingness-to-pay benchmarks, competitive pricing analyses, and Pricing Committee inputs.
• Build financial models and analytical scaffolding for major product and go-to-market investment business cases, including ROI, investment sizing, sensitivity analysis, and tradeoffs.
• Build dashboards, automated reports, and reusable model templates to automate analytical work.
• Produce executive-ready narratives, charts, and slides for senior leadership review.
• Stay current on cloud, SaaS, product-led growth, consumption-based pricing, and competitive dynamics.

Requirements

• 4+ years of experience in strategic finance, product finance, growth equity, private equity, investment banking, management consulting, or equivalent analytical roles, with operating experience at a fast-paced technology company.
• Exceptional financial modeling skills, including product P&L views, cohort and funnel analyses, pricing models, unit economics, and operating models.
• SQL fluency for querying large product analytics datasets in a cloud data platform (Snowflake or similar).
• Strong analytical judgment, attention to detail, and ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.
• Working understanding of cloud and SaaS product economics.
• Ability to translate complex product, usage, customer, and financial data into clear recommendations for senior leadership.
• High attention to detail, commitment to accuracy, and comfort making decisions with imperfect data.
• Effective written and verbal communication skills for executive-quality narratives.
• Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline.

Nice-to-Haves

• Hands-on product economics experience at a high-growth cloud, data, AI, or SaaS company.
• Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms.
• Experience with competitive pricing analysis and willingness-to-pay research.
• Python proficiency for data analysis.
• Experience with BI tools such as Tableau or Sigma.
• MBA or CFA in progress or completed.