Strategic Finance - GTM

Your Impact:

• Building and owning the core datasets that power growth decision-making (e.g., CAC, funnel conversion, cohort performance, LTV inputs, cost-to-serve inputs)
• Creating dashboards and tools that enable teams to understand performance across channels, campaigns, and segments
• Translating strategic finance frameworks (e.g., payback models, channel scaling rules, ROI thresholds) into scalable systems and decision tools
• Designing and implementing automations that reduce manual work, standardize decision-making, and accelerate the path from data, to insights, and then to actions
• Partnering with Growth, Marketing, Sales, Partnerships, Product, and Data teams to improve data quality, attribution, and performance visibility
• Supporting forecasting and planning processes related to growth and customer behavior
• Identifying recurring questions or manual processes and proactively building systems, datasets, or tools to eliminate them

What You Bring:

• 3–5 years of experience in strategic finance, growth analytics, bizops, or a similar role in a high-growth environment
• Strong SQL and data manipulation skills; ability to work directly with large datasets and define clean, scalable data models
• Expert modeling skills, including building detailed P&Ls and operating models, with experience building models that are actually used by stakeholders
• Experience working on growth, marketing, or customer-related problems (e.g., CAC, funnels, experimentation, or unit economics) is strongly preferred
• Strong problem-solving skills with the ability to operate in ambiguity and independently drive problems from definition to a scalable solution
• A systems-oriented mindset: you instinctively identify recurring questions or workflows and build scalable solutions (e.g., datasets, tools, automations) to eliminate them
• Strong communication skills, with the ability to translate complex analyses into clear, actionable insights
• Demonstrated ability to operate in ambiguous environments and translate loosely defined problems into structured, repeatable systems