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Pavago Himalayas · Posted 3d ago

Financial & Data Analyst

USD Full time Remote

Mid-level Financial-Analysis, Data-Analysis, FP&A, Business-Intelligence, Financial-Modeling Himalayas
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Indexed description

Job Title: Financial Analyst / Data Analyst

Position Type: Full-Time, Remote
Working Hours: U.S. client business hours (with flexibility for reporting deadlines, month-end cycles, and strategic projects)

About the Role

Our client is seeking a Financial Analyst / Data Analyst to build financial models, analyze operational and financial performance, and deliver data-driven insights that support strategic decision-making.

This role combines financial analysis with modern data analytics, requiring strong quantitative skills, business acumen, and proficiency with reporting and BI tools. The Financial Analyst / Data Analyst serves as the bridge between raw data and executive strategy — ensuring reporting is accurate, actionable, and aligned with business goals.

The ideal candidate is analytical, detail-oriented, and capable of transforming complex datasets into clear recommendations for leadership and cross-functional teams.

Responsibilities

Financial Modeling & Strategic Analysis

  • Build and maintain 3-statement financial models including P&L, balance sheet, and cash flow projections
    • Create scenario, sensitivity, break-even, ROI, IRR, and valuation analyses to evaluate risks and opportunities
    • Support forecasting, budgeting, and long-range planning initiatives
    • Analyze financial performance and identify trends impacting profitability, growth, and operational efficiency

Data Analysis & Reporting

  • Query SQL databases and work with large structured datasets
    • Clean, transform, and validate data using Excel, Python, R, or related tools
    • Conduct variance analysis comparing actual performance against budgets and forecasts
    • Develop recurring and ad hoc reports for finance, operations, and leadership teams

Dashboard Development & Business Intelligence

  • Build and maintain KPI dashboards using Tableau, Power BI, Looker, or similar BI tools
    • Ensure reporting consistency, data integrity, and standardized metric definitions across departments
    • Create executive-ready visualizations and reporting packages for leadership and board presentations
    • Improve visibility into operational and financial performance through automated reporting systems

Forecasting, Planning & Business Support

  • Partner with FP&A, finance, sales, and operations teams to refine forecasts and budgets
    • Incorporate real-time business trends into rolling forecasts and scenario planning
    • Support strategic initiatives through financial and operational analysis
    • Translate business needs into measurable KPIs and analytical frameworks

Data Governance & Accuracy

  • Validate and reconcile data sources to ensure accuracy and reliability
    • Document methodologies, assumptions, and reporting processes for transparency and repeatability
    • Identify opportunities to improve reporting efficiency, automation, and data quality
    • Maintain organized, audit-ready documentation and analysis workflows

Cross-Functional Collaboration

  • Work closely with leadership and stakeholders across finance, operations, sales, and strategy teams
    • Present findings and recommendations clearly to both technical and non-technical audiences
    • Support decision-making with concise, actionable insights backed by data and financial analysis

What Makes You a Perfect Fit

  • Strong analytical thinker capable of turning complex data into simple, actionable insights
    • Highly detail-oriented with strong standards for accuracy and consistency
    • Excellent communicator comfortable presenting to executives and stakeholders
    • Curious and proactive in identifying trends, opportunities, and operational risks
    • Strong balance of technical analysis and business understanding

Required Experience & Skills

  • 2+ years of experience in financial analysis, FP&A, business intelligence, or data analytics
    • Advanced Excel or Google Sheets skills including pivot tables, INDEX/MATCH, lookup formulas, and modeling
    • Strong SQL skills for querying and analyzing datasets
    • Experience preparing variance analyses, forecasting models, and management reports
    • Ability to work with large datasets and synthesize findings clearly

Preferred Experience & Skills

  • Experience using Python or R for advanced analytics and data transformation
    • Familiarity with BI tools such as Tableau, Power BI, or Looker
    • Industry experience in SaaS, finance, healthcare, or professional services
    • Experience extracting data from ERP systems such as NetSuite, SAP, or Oracle
    • Knowledge of financial planning, budgeting, and operational KPI frameworks
    • Exposure to automation or advanced reporting workflows

What Does a Typical Day Look Like?

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

  • Pull, clean, and validate data from SQL databases, ERP systems, or reporting platforms
    • Update financial models and run scenario analyses based on the latest business performance
    • Prepare variance analyses explaining deviations from forecast or budget
    • Build and maintain dashboards that provide leadership with real-time visibility into KPIs
    • Collaborate with stakeholders to interpret data and support strategic decisions
    • Document assumptions, methodologies, and reporting logic to ensure consistency and transparency

In essence: you ensure leadership always has accurate, timely, and actionable insights to guide business decisions and long-term strategy.

Key Metrics for Success (KPIs)

  • Forecast and model accuracy within agreed variance thresholds
    • Timely delivery of monthly, quarterly, and ad hoc reporting
    • Reliability and usability of dashboards and reporting tools
    • Improved data quality and reporting consistency
    • Actionable insights that support strategic and operational decisions
    • Positive stakeholder feedback on reporting clarity and analytical support

Interview Process

  • Initial Phone Screen

• Video Interview with Pavago Recruiter

  • Practical Assessment (e.g., financial model, dashboard creation, or analytical case study)
    • Client Interview with Finance / Operations Leadership

• Offer & Background Verification

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Originally posted on Himalayas

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