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Financial Analyst – Reporting & Data Modeling

Soluciones Creativas Capital Humano · Heredia

Nouveau
Senior 🇬🇧 English
Microsoft Excel (Advanced) Power Pivot Power Query SQL Essbase Cognos Python Pandas

Description du poste

About the role

We are seeking a Financial Analyst with strong analytical and data‑modeling expertise to own the weekly revenue reporting process and support monthly P&L and forecasting activities. The role combines finance knowledge with advanced Excel and SQL skills to deliver reliable, repeatable reports that drive business decisions.

Key responsibilities

  • Produce a weekly revenue report in Excel and Word, integrating data from multiple sources using SQL queries, Power Query and data‑modeling techniques.
  • Manage financial data collection, analysis, and reporting for monthly P&L statements and forecasts.
  • Identify control risks, evaluate their impact, and implement improvements to strengthen controllership.
  • Provide timely insights for business reviews, monitor forecast accuracy, and analyze variances with clear commentary.
  • Lead weekly/monthly financial close activities and maintain planning and reporting models.
  • Conduct ad‑hoc business analyses, financial modeling, and present strategic recommendations to senior management.
  • Identify, design, and execute opportunities to automate and simplify finance tools and processes.

Required profile

  • 5+ years of experience in finance, accounting, or a related analytical field.
  • Proven track record building financial and operational reports that inform decision‑making.
  • Experience creating process improvements through automation and analysis.
  • Bachelor’s degree in accounting, finance, business, or a related discipline.
  • Excellent written and verbal communication skills in English.

Required skills

  • Advanced Microsoft Excel (Power Pivot, advanced formulas, Power Query).
  • SQL for data extraction and manipulation.
  • Experience with large‑scale reporting tools such as Essbase and Cognos.
  • Stakeholder management across multiple organizational levels.
  • Preferred: Python programming and Pandas library.

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