Financial & Data Analyst

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 :

Required Experience & Skills (Minimum) :

Ideal Experience & Skills :

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 :

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

Key Metrics for Success (KPIs) :

Interview Process :