Semi-Senior Finance Analyst (Latin America)

Responsibilities

• Data analysis & reporting: Produce and maintain detailed P&L reports, cash flow statements, and KPI dashboards for senior management.
• Financial modeling: Build and maintain complex models to value projects and forecast business performance.
• Variance analysis: Compare actual financial results against budgets and forecasts, investigating discrepancies to inform corrective actions.
• Cross-functional collaboration: Work with cross-functional departments to streamline workflows and track business performance budgets versus actuals.
• Assist with budget preparation, forecasting, and provide financial inputs for business cases.
• Accounting & audit support: Assist in the preparation of general ledger and accounts reconciliations, book entries, and help with internal and external audit activities.

Requirements

• English (B2+/90% level) and Spanish fluency is mandatory, along with strong communication skills.
• 2-3 years of experience as a semi-senior finance analyst.
• Strong Excel modeling skills.
• Experience using Claude for Excel to accelerate tasks, audit formulas, build multi-tab models, and extract data from external files.
• University or intermediate degree in Finance or Economics.
• Good knowledge and experience in revenue, costs, margins, and EBITDA calculation.
• Experience with budgeting and forecasting processes, analysis, and reporting.
• Capable of working in fast-changing environments with strict due dates for reporting and presentations.
• Strong analytical skills.
• Team player attitude.
• Experience using QuickBooks accounting software.
• A quick knowledge check will be part of the interview process.

Additional Information

*This role is available for all all Latin America* Role purpose The Semi-Senior Finance Analyst will support the finance team in delivering accurate financial reporting, modeling, and analysis across the business. This role requires both technical rigor and strong collaboration skills, working cross-functionally to drive data-informed decisions and support planning processes.

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Company Intel

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