Senior Financial Analyst, Finance & Strategy

brightwheel

3d • $106,500 - $142,000 • Remote

About The Position

Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban.

Our team is passionate, talented, and customer-focused. We embody our Leadership Principles in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally.

Requirements

• 4+ years of experience in Strategic Finance, investment banking or similar field.
• Read, dissected and diagnosed SQL queries — you don't need to write every query from scratch, but you must be able to look at a query (including one an AI wrote) and judge whether it answered the question correctly. This is a must-have.
• Reached for AI coding tools (Claude Code, Codex, or similar) as your default way of solving problems day to day — building, automating and iterating routinely, not as a one-off experiment, and not just using the chat interface.
• Built Excel or Sheets-based financial models confidently and often — and increasingly used AI tools to build them faster, with the modeling fundamentals to know when the output is wrong.
• Owned a recurring financial or operational report end-to-end — not just updated someone else's template, but understood and improved the underlying logic.
• Kept a set of models or datasets clean and current over time, with the definitions and structure to make them reusable.
• Operated in a fast-moving, ambiguous environment where the question changed before the last answer was even finished.
• Effective communication style with ability to work cross functionally outside of finance teams and proactive communication with teammates

Nice To Haves

• AI-native and building-oriented — when a problem lands, your first instinct is to reach for a tool like Claude Code or Codex and build something, not to do it by hand or ask it as a chat question.
• Solid financial modeling fundamentals — you're strong in Excel and Sheets, you understand how a model should be structured, and that foundation is exactly what lets you layer automation on top of it with confidence.
• You can read and interrogate SQL: not necessarily writing every query from scratch, but able to look at what a tool has produced and tell whether it actually answered the question.
• Real curiosity — you dig past the first answer without being asked — and real velocity: you know the difference between a question that needs a rigorous, fully-loaded model and one that needs a directional answer fast.

Responsibilities

• Support two different parts of the business at once — our core acquisition motion and our Education business — which means learning two distinct sets of economics and getting exposure most analysts at this level don't get.
• Own the underlying models for core acquisition: headcount planning, rep productivity, rep compensation, and acquisition forecasting.
• Own the underlying models for Education: order volume, physical product cost and inventory, margin per unit, and ARR.
• Keep those models clean, current and well-structured — model hygiene is a core part of the job, not housekeeping around the edges.
• Work with analytics to build the foundational datasets, definitions and context layers that let analysis be automated and repeated quickly rather than rebuilt by hand each cycle.
• Build automated workflows using AI coding tools — automating model refreshes, data pulls, and recurring analysis so the team's reporting runs itself as much as possible.
• Independently pull and validate the data you need via SQL and Redshift, using AI tools and our context layer, with ad hoc asks to Analytics for the harder or more detailed requests.
• Build and maintain self-serve dashboards for both areas so recurring questions stop being asked manually.
• Proactively flag data quality issues, methodology gaps, or reporting inconsistencies before they become someone else's problem to catch.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed