Employment Type: Full Time (Direct Hire)
Employment Setup: Hybrid (4 days onsite per week)
Location: Raleigh-Durham, NC (Research Triangle Park)
What impact you will make?
As a Cloud FinOps Analyst, you will be helping to collect and analyze data to provide Cloud
financial insights critical to our success as a business as it relates to an Infrastructure and
Operations organization.
What you will be doing?
• Produce insightful reports that can be shared with and actioned by Management.
• Work effectively with cross-functional teams globally, assimilating requirements, driving
results in the form of data insights and building strategic partnerships.
• Support the FinOps team with setting goals/KPIs, retrieving data and modeling
• Partner heavily with our Cloud Governance team to map data process flows, allowing FinOps
to gather a single source of data source.
• Analyze and forecast cloud hosting costs.
• Provide cost optimization recommendations.
• Create and maintain month-end and quarter-end reports.
• Use Agile methodology for planning and execution.
• Use tools and technology to make data driven decisions.
What skills do you need to be successful?
• Undergraduate or master's degree in computer science, management information systems,
data analytics
• +2 years' experience in IT (Business Analytics, Project Management, IT Finance
• Experience with cloud platforms such as Azure, AWS, Google Cloud, IBM Cloud, etc.
• Experience with Cloud billing and cost management tools and processes
• Experience in cost management tactics such as enterprise-wide discount programs and
commitment plans (Reserved Instances, Savings Plans, Spot, Sustained Use/Committed
Use Discounts)
• Self-starter who can also work with a team to deliver superior customer service
• Knowledge of financial principles and business analytics.
• Ability to work with multiple internal teams to provide the best experience for our customers
• Understanding of applications development environment, database, data management and
infrastructure capabilities and constraints.
• Ability to analyze and produce meaningful insights from large datasets
• Strong analytical background with an aptitude for understanding technology
• Experience with advanced Excel functions required