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Finance Data Analyst

Sauce
Remote, USA
Full Time, Contract
Mid Level
Remote
Discovered 1 weeks ago
Free

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About Role

Data accuracy and infrastructure

  • Maintain and QA all financial data outputs from Preset and Databricks against source systems; flag discrepancies before they reach reporting
  • Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control

Core metric tracking

  • Build and maintain recurring reports for revenue by channel and order type, delivery margin and order-level economics
  • Maintain and ensure consistency of financial and operational KPI calculations across all reporting systems
  • Maintain and develop fully loaded COGS tracking: courier fees, payment processing and infrastructure allocation

Fp&A & Financial Analysis

  • Track budget vs. actual performance across departments and highlight key variances
  • Assist in monthly forecasting, scenario analysis and business performance reviews
  • Prepare reconciled data and variance analysis for management reporting
  • Maintain actuals data to support rolling forecast updates and management reporting
  • Our stack: Databricks, Preset, SaasGrid, QuickBooks, Stripe, Google Workspace, AI (LLM)
  • 3+ years in FP&A, Strategic Finance,Business Analytics or Finance Analyst in a technology company
  • Strong analytical and problem-solving skills with the ability to investigate data discrepancies across multiple systems and identify root causes
  • Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas
  • SQL proficiency - required; Databricks or similar data warehouse experience preferred
  • Hands-on experience with a BI tool (Preset, Tableau, Looker, or equivalent)
  • Strong understanding of SaaS, marketplace, fintech, or high volume transaction-based business models and unit economics: revenue, COGS, CAC, LTV, margin
  • Strong English - written and spoken
  • Detail-oriented to the point of being uncomfortable with unreconciled numbers
  • Nice to have:
  • Python, GitHub
  • Experience working with data pipelines, data models, or analytics infrastructure
  • Prior experience in a marketplace, SaaS, fintech, or high-transaction-volume tech environment

• 11 Local Holidays

  • The Opportunity to Build Something that Changes the Delivery Tech Industry for the Better!

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