Amazon Data Services Ireland Limited
Cloud Computing
SeniorFinanceAnalyst,EMEADataCenter
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Finance Analyst, EMEA Data Center at Amazon Data Services Ireland Limited. Skills: Financial modeling, Business partnering, Data analysis. Partner with business development. Partner with Real Estate teams”
Industry & Context.
Complex business challenges; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree in finance, Bachelor's degree in accounting, Experience delivering forecasting, Experience delivering budgeting, Experience delivering variance analysis, Experience data interpretation, Experience solving complex business challenges, Experience applying key financial performance indicators, Experience building financial reports, Experience building operational reports, Experience using complex modeling, Experience performing audits, Experience in commercial finance business partnering, Experience in FP&A
Nice to Have
MBA, CPA, Knowledge of ERP systems, Experience in Excel, Experience with VBA, Experience with pivot tables, Experience with array functions, Experience with power pivots, Experience with data visualization tools
What You'll Do.
Partner with business development
Partner with Real Estate teams
Provide strategic guidance
Perform discounted cash flow modeling
Perform P&L financial modeling
Lead executive-level discussions
Ensure stakeholder alignment
Prepare business reviews
Deliver business reviews
Provide controllership
Understand infrastructure market segments
Understand customer base
Understand industry verticals
Understand technology trends
Set business development plans
Ensure execution alignment
Develop business acumen
Develop technology acumen
Account for technology transitions
Account for business evolution
Drive process improvement
How You'll Work.
Team & Collaboration
Business owners; Operations; Business development; Engineering; Real estate; Region portfolio management; Product teams; Networking; Data Center Engineering; Accounting; Legal; Tax
Communication Scope
Executive-level discussions
Full Job Description
Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services – now widely known as cloud computing – based on Amazon’s own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. At Amazon, we believe that in-person collaboration is essential to our culture and innovation. While we allow flexibility for personal circumstances, we generally expect employees to work from our offices five days a week. This approach has consistently shown that spontaneous interactions, rapid problem-solving, and the energy of in-person teamwork lead to better results for our customers. In particular, our data shows that teams working together in person are more effective at making complex de
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