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Financial & Data Analyst

Job Title: Financial Analyst / Data Analyst

Position Type: Full-Time, Remote

Working Hours: U.S. client business hours (with flexibility for reporting deadlines and project cycles)

About the Role:

Our client is seeking a Financial Analyst / Data Analyst to build models, analyze performance data, and deliver insights that guide strategy and decision-making. This role requires strong analytical skills, financial acumen, and proficiency with modern data tools. The Analyst serves as a bridge between raw numbers and executive decisions, ensuring reporting is accurate, timely, and actionable.

Responsibilities:

Financial Modeling:

    • Build and maintain 3-statement models (P&L, balance sheet, cash flow).
    • Create scenario and sensitivity analyses to evaluate risks and opportunities.
    • Model ROI, IRR, break-even, and valuation scenarios for projects or investments.

Data Analysis:

    • Query SQL databases and work with large datasets.
    • Clean and transform data using Python, R, or Excel advanced functions.
    • Conduct variance analyses to compare actuals vs. budgets/forecasts.

Reporting & Dashboards:

    • Prepare monthly management reporting packages and board decks.
    • Build KPI dashboards using Tableau, Power BI, or Looker.
    • Ensure consistent reporting definitions across finance and operations.

Forecasting & Budget Support:

    • Collaborate with FP&A teams to refine budgets and forecasts.
    • Incorporate real-time business performance into rolling forecasts.

Data Quality & Governance:

    • Validate data sources for accuracy and consistency.
    • Document methodologies for transparency and repeatability.

Collaboration:

    • Partner with finance, sales, operations, and leadership to align metrics with goals.
    • Translate data into clear, actionable insights for non-technical stakeholders.

What Makes You a Perfect Fit:

  • Analytical thinker who can turn complex data into simple insights.
  • Detail-oriented, with high standards for accuracy.
  • Strong communicator — equally comfortable with spreadsheets and executive presentations.
  • Proactive in identifying trends, risks, and improvement opportunities.

Required Experience & Skills (Minimum):

  • 2+ years in financial analysis, FP&A, or data analytics.
  • Advanced Excel/Google Sheets (pivot tables, INDEX/MATCH, macros).
  • Proficiency in SQL for querying and joining datasets.
  • Experience preparing variance analyses and management reports.

Ideal Experience & Skills:

  • Python or R for advanced analytics and data modeling.
  • Experience with BI tools (Tableau, Power BI, Looker).
  • Industry background in SaaS, finance, healthcare, or professional services.
  • Familiarity with ERP systems (NetSuite, SAP, Oracle) for data extraction.

What Does a Typical Day Look Like?

A Financial Analyst / Data Analyst’s day revolves around turning raw financial and operational data into meaningful insights. You will:

  • Pull and clean data from ERP or SQL sources to prepare daily/weekly reports.
  • Update financial models with the latest actuals and run scenario analyses.
  • Prepare variance analyses to explain deviations from budget or forecast.
  • Build dashboards in BI tools to give leadership real-time visibility into KPIs.
  • Collaborate with stakeholders, presenting findings in clear, actionable terms.
  • Document assumptions and methodologies so models and analyses are transparent and repeatable.

In essence: you ensure decision-makers always have accurate, data-driven insights to guide strategy.

Key Metrics for Success (KPIs):

  • Accuracy of forecasts and financial models (variance within ±5–10%).
  • Timeliness of monthly/quarterly reporting.
  • Reliability and clarity of dashboards delivered to stakeholders.
  • Positive feedback from leadership on insights and recommendations.
  • Reduced errors and improved data quality across reports.

Interview Process:

  1. Initial Phone Screen
  2. Video Interview with Pavago Recruiter
  3. Practical Task (e.g., build a simple financial model or create a sample dashboard from dataset)
  4. Client Interview with Finance/Operations Leadership
  5. Offer & Background Verification

Average salary estimate

$90000 / YEARLY (est.)
min
max
$70000K
$110000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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pavago - thinking globally to grow locally 🌍 welcome to pavago, where the world is your talent pool. we believe in a borderless future where businesses can harness the best of international expertise without breaking the bank. 🌟 why choose pav...

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Full-time, remote
DATE POSTED
October 17, 2025
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