Financial & Data Analyst

Pavago
Remote

About The Position

We’re hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions. This role sits at the intersection of finance, data, and strategy — you’ll build models, analyze performance, and create dashboards that leadership relies on daily. If you’re someone who can connect numbers to real business impact, this is where you thrive.

Requirements

  • 2+ years in Financial Analysis, FP&A, or Data Analytics
  • Advanced Excel / Google Sheets (Pivot Tables, INDEX/MATCH, Data modeling)
  • Strong SQL skills (queries, joins, data extraction)
  • Experience with financial reporting and variance analysis
  • Experience with Tableau, Power BI, or Looker
  • Experience with SQL, Excel / Google Sheets

Nice To Haves

  • Python or R for data analysis
  • Experience with ERP systems: NetSuite, SAP, or Oracle
  • Industry experience in SaaS, Finance, or Healthcare
  • Experience building executive dashboards

Responsibilities

  • Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow)
  • Perform scenario analysis, sensitivity modeling, and forecasting
  • Analyze ROI, IRR, break-even points, and investment performance
  • Support strategic decision-making with data-backed financial insights
  • Query and analyze datasets using SQL
  • Clean, structure, and transform data using Python, R, or Excel
  • Perform variance analysis (actual vs. forecast vs. budget)
  • Identify trends, risks, and opportunities across datasets
  • Build dashboards using Tableau, Power BI, or Looker
  • Prepare monthly reports, executive summaries, and board decks
  • Ensure reporting is consistent, accurate, and easy to interpret
  • Support FP&A processes and rolling forecasts
  • Integrate real-time performance into financial projections
  • Help improve forecasting accuracy and business planning
  • Validate data sources and ensure consistency
  • Document models, assumptions, and methodologies
  • Maintain clean, reliable datasets for decision-making
  • Partner with finance, operations, sales, and leadership
  • Translate data into clear, actionable business insights
  • Support key decisions with structured analysis
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