FinOps Analyst - Work From Home Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.
Join us and help the world's leading organizations unluck the value of technology and build a more sustainable, more inclusive world.
RESPONSIBILITIES Conduct detailed financial analysis and forecasting for cloud spending across multiple platforms (i.e., AWS, Azure, Google, Oracle, IBM).
Leverage management tools to identify and act upon optimization opportunities.
Work closely with engineering and operations teams to recommend cost-optimization practices.
Provide insights and recommendations on cloud usage and cost trends to senior management.
Lead the FinOps practice within the organization, promoting a culture of cost awareness in cloud.
Work with internal stakeholders, providing visibility into cloud spend and cost avoidance.
Engage with cloud service providers to ensure cost-efficient optimization.
Stay abreast of the latest cloud FinOps tools, technologies, and best practices REQUIRED SKILLS 3-5+ experience in financial management, preferably cloud financial management or a cloud cost optimization role.
Strong understanding of cloud technologies and pricing models across major cloud platforms (AWS, Azure, Google Cloud).
Excellent communication skills, with the ability to present information in a clear and concise manner.
ABOUT CAPGEMINI At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential.
From autonomous cars to lifesaving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
Join us for a career full of opportunities.
Where you can make a difference.
Where no two days are the same.
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