Carbon Planning Finance Analyst — AI-Driven Insights in London

Carbon Planning Finance Analyst — AI-Driven Insights in London

London Full-Time 31500 - 38500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support carbon planning and analysis with AI-driven insights for monthly data closure.
  • Company: Join Amazon in London, a leader in innovation and sustainability.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Work in a collaborative team with potential for process improvement initiatives.
  • Why this job: Make a real impact on sustainability while developing your finance skills.
  • Qualifications: Bachelor's in finance, experience in forecasting, budgeting, and financial analysis.

The predicted salary is between 31500 - 38500 £ per year.

Amazon в Лондоне ищет специалиста по углеродному планированию и анализу для поддержки ежемесячного закрытия данных, улучшения отчетности и взаимодействия с региональными командами устойчивости и финансами.

Роль требует опыта в прогнозировании, бюджетировании и анализе финансовых результатов, владение Power BI и Python.

Формат очной работы в Лондоне, с возможной эскалацией запросов на улучшения процессов.

Кандидат должен иметь бакалавр финансового направления и свободно владеть английским языком.

Carbon Planning Finance Analyst — AI-Driven Insights in London employer: Enfint

As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.

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Contact Details:

Enfint Recruitment Team

We think you need these skills to ace Carbon Planning Finance Analyst — AI-Driven Insights in London

Forecasting
Budgeting
Financial Analysis
Power BI
Python
Data Reporting
Process Improvement