Strategic Finance – GTM

🕒 May 18

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Mercury

201 - 500 employees

Founded 2019

💳 Fintech

💸 Finance

☁️ SaaS

Fintech • Finance • SaaS

Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• equity (stock options/RSUs)

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