Business Operations Analyst

Arcade•San Francisco, CA

2d•$100,000 - $140,000•Remote

About The Position

As the Business Operations Analyst, you’ll partner closely with Finance, Sales, and Marketing leadership to own and improve core operational workflows, using data and analysis to identify bottlenecks, diagnose root causes, and prioritize where the business should invest effort. You should expect to spend meaningful time executing and owning day-to-day operational work as you build context and trust. Over time, success is measured by your ability to turn recurring execution into scalable systems—using analytical rigor, automation, and systems thinking to reduce manual effort, increase reliability, and enable better decisions as the company scales.

Requirements

2+ years of experience in Business Operations, Management Consulting, Finance or a similar role where you owned problems end-to-end
Strong ownership mindset: comfortable taking on hands-on execution and accountable for outcomes
High analytical rigor: able to independently analyze financial, GTM, or business performance data to diagnose drivers, evaluate tradeoffs, and inform decisions
Systems-oriented thinker: naturally looks for ways to turn recurring work into scalable processes, automation, or better tooling rather than relying on manual effort
Comfort operating in imperfect environments: able to make progress with incomplete information, evolving processes, and lightweight structure

Nice To Haves

Experience working with finance, billing, sales ops, or GTM workflows in a B2B or SaaS context
Demonstrated interest in or exposure to automation, low-code, or AI-enabled tools

Responsibilities

Own and execute core operational work
Take partially defined, high-priority operational work from intake through hands-on execution, across billing, finance ops, and GTM workflows
Apply analytical rigor to business and operational questions
Analyze financial, GTM, and business performance data to diagnose underlying drivers, surface tradeoffs, and inform decisions beyond surface-level metrics
Design scalable systems and processes over time
Use insights from execution and analysis to redesign workflows, tooling, and automation, reducing manual work and increasing reliability as the company scales