Are you an Analyst looking to leverage AI heavily to grow and develop a startup organization?
About this role:
We're hiring a Senior Analyst, FP&A and Treasury to join the finance team, reporting to the VP, FP&A. This is a hybrid FP&A / Treasury seat — roughly 60% FP&A, 40% Treasury, but the split moves with the calendar. The infrastructure doesn't fully exist yet, and you'll have a direct hand in building it. What You'll OwnFP&ABuild and maintain monthly actuals vs. budget vs. forecast reporting across all PMCs and market segments. Own the Weekly Flash Report at the unit, PMC, and market level — including variance commentary that goes to the CEO, CFO, and PE sponsor. Support the annual budget and quarterly re-forecast cycle, including the Mission Control budget itself.
Treasury:
Maintain the rolling 13-week cash flow forecast across the consolidated entity and PMC subsidiaries. Handle cash positioning across the banking footprint, support the migration to a single consolidated banking platform, and own BAI2/H2H bank reporting automation and exception monitoring. KYC, signer maintenance, and bank account opening/closing workflows.
Infrastructure and Tooling:
Help develop the post-close FP&A infrastructure using AI tools, with outputs in Snowflake, Python, and dbt. This is a team that intentionally hires people comfortable with both finance and tooling.
What We're Looking For:
Must-haves Bachelor's degree in Finance, Economics, Accounting, Mathematics, Statistics, Computer Science, Engineering, or a related analytical discipline 2-5 years of professional experience in FP&A, corporate finance, investment banking, transaction services, consulting, treasury, or a similarly analytical seat Comfortable working primarily in Excel, with genuine interest in leveraging AI tools like Claude, Gemini, and ChatGPTDemonstrated quantitative reasoning — prior work product, models, or analyses we can discuss Clear written communication — you'll write commentary that goes to the CEO, CFO, and PE sponsor PreferredPython (pandas, openpyxl) or SQL exposure Familiarity with dbt, Snowflake, or Power Query Exposure to GAAP accounting or EBITDA bridge / variance work Prior PE-backed, multi-entity, or roll-up experience Treasury or 13-week cash flow forecasting experience
