Strategic Financial Analyst — Global Ops & Security

Aws Emea Sarl (Spain Branch) - G84; Madrid; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

Aws Emea Sarl (Spain Branch) - G84, Madrid, is seeking a Senior Financial Analyst to support WWOS Finance in CAPEX methodologies and cost optimization across the Amazon Global Network. The role partners with Procurement, Field, Compliance, and Operations to deliver data-driven insights for OPEX/CAPEX decisions.

The successful candidate will build financial models, drive weekly closes, and produce meaningful reports leveraging large-scale data mining tools.

Formación

• Bachelor's degree or above in a finance-related field and track record in financial roles.
• Experience leading a project or program and partnering with multiple stakeholders.
• Proficient with Excel or similar tools and large-scale data mining tools such as Power BI, Python, SQL, or Tableau.
• Experience in financial modeling.

Responsabilidades

• Build financial models, interpret data, and provide recommendations to leaders.
• Deliver weekly/monthly financial close and consolidate plans.
• Use financial systems and advanced Excel to work with large data sets.
• Create partnerships, manage priorities, and guide decisions during events.
• Communicate complex finance issues clearly to varied audiences.
• Analyze quantitative data to develop reports driving cost reductions.
• Identify opportunities to improve finance tools and processes.

Conocimientos

Project leadership

Data analysis

Communication

Educación

Bachelor's degree or above

Bachelor's degree in Finance, Mathematics, or Economics

Herramientas

Power BI

Python

SQL

Tableau

Descripción del empleo

Aws Emea Sarl (Spain Branch) - G84, Madrid, is seeking a Senior Financial Analyst to support WWOS Finance in CAPEX methodologies and cost optimization across the Amazon Global Network. The role partners with Procurement, Field, Compliance, and Operations to deliver data-driven insights for OPEX/CAPEX decisions.

The successful candidate will build financial models, drive weekly closes, and produce meaningful reports leveraging large-scale data mining tools.