SaaS Revenue & Financial Analyst - Flosum (US)

2 weeks, 6 days ago
Mid Level
Business Intelligence
Flosum

Flosum

Flosum offers a comprehensive, 100% native platform designed for Salesforce that focuses on DevOps, data management, and security orchestration, ensuring secure data backup and streamlined compliance for enterprises.

Internet Software & Services
51-250
Founded 2013

Description

  • Build and maintain SaaS metrics infrastructure, including ARR waterfalls, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and segment-level unit economics.
  • Reconcile Salesforce bookings data with QuickBooks revenue entries and maintain a single source of truth across both systems.
  • Produce monthly and quarterly financial and revenue packages, including variance analysis against plan.
  • Model scenarios involving pricing changes, product bundling, geographic expansion, and headcount investment.
  • Monitor pipeline health and translate pipeline data into documented revenue forecasts.
  • Own CRM and accounting data integrity by identifying and resolving discrepancies.
  • Support board-level and investor-level reporting with accurate, defensible metrics.
  • Connect revenue operations data to financial outcomes and surface insights for CEO-level decisions.

Requirements

  • 3+ years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company.
  • Deep, data-level proficiency with Salesforce, including opportunity objects, product schedules, contract structures, and reporting.
  • Proficiency with QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows.
  • Knowledge of ASC 606 revenue recognition principles and their application to multi-product SaaS businesses with annual and multi-year contracts.
  • Ability to build financial models from scratch in Excel or Google Sheets.
  • Understanding of cohorts, bookings, billings, and revenue, including how they differ and why each matters.
  • Strong attention to detail and commitment to data integrity.
  • Experience with subscription revenue and professional services models preferred.
  • Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects preferred.
  • Exposure to growth-stage investor or board reporting, and Marketo or HubSpot data for CAC and attribution modeling, preferred.

Interested in this position?

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