Senior Finance Analyst, EU FP&A - Headcount

at  Amazon EU SARL

• Bachelor’s degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
• Experience in financial modeling, P&L management or analysis
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis
• Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
  We are looking for a Senior Finance Analyst within Amazon EU. This role focuses on Headcount within the International Operations E2E FP&A team. Additionally, the role will be highly matrixed with other finance teams, and will lead key metrics and deliverables for reporting and planning with pan-EU scope.
  As a Senior Finance Analyst, you’ll give us the visibility we need to drive Amazon forward. Finance teams are a constant adviser to the business. When our finances and programme performance are optimised, we can keep delivering an excellent experience for our customers and find new ways to support them. This role gives you the opportunity to see how we make business decisions as you gather all the insights that we need to shape our future.

Key job responsibilities

• Use a range of metrics and models to forecast, link operational objectives to financials, and determine opportunities for improvement
• Explore data to ensure reporting accuracy, and share financial analysis with business partners to support strategic business decisions
• Produce a financial and operational plan to support business priorities, and lead on associated projects
• Support with training new team members and contribute to onboarding plans
• Maintain and build tools for your team to support knowledge sharing and help to standardise processes across EU teams

A day in the life
As a Senior Finance Analyst, you’ll play a core role in a number of projects at any one time. By tracking performance metrics, analysing data and building financial models, you’ll identify where we can drive better efficiency and productivity. You’ll also show us how different scenarios impact our business from a financial perspective, which is vital for many of our stakeholders to make business decisions.
This role will allow you to work independently, whilst also working closely with our partners to provide the insights they need. You’ll be predominantly based in one of our corporate offices but may also be based in another of our sites.
About the team
Customer Fulfilment, or CF, is where it all started for Amazon. CF has scaled up from a humble team of booksellers to a sophisticated global team which handles more than 1.5 million orders every day. The team is the foundation of our business and its efforts have helped us diversify across new regions and services. With the help of emerging technology, we’re always looking for ways to offer a bigger, better product range – delivered quickly and affordably.
The CF team are the first people in the chain that helps customers get products at the speed we’re known for. We’re based in Fulfilment Centres, which are at the heart of Amazon’s fast-paced Operations network. Our centres are sometimes referred to as the ‘First Mile’ because it’s where most Amazon packages start their journey. We help to manage dynamic inventory and facilitate speedy deliveries round the clock.
Lots of different people work in our Fulfilment Centres, so there are plenty of opportunities for every skillset. Some of us work with physical products, while others analyse data to help everyone across the business make smart decisions.

In the Headcount finance team, we work with stakeholders across all lanes including transportation and fulfilment centres to help the business achieve its goals. Your responsibilities could include anything from capturing and analysing data around KPIs, building models, planning resources, driving savings projects or making data-backed business decisions around controllership and network design.

• MBA, or CPA
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates

Key job responsibilities

• Use a range of metrics and models to forecast, link operational objectives to financials, and determine opportunities for improvement
• Explore data to ensure reporting accuracy, and share financial analysis with business partners to support strategic business decisions
• Produce a financial and operational plan to support business priorities, and lead on associated projects
• Support with training new team members and contribute to onboarding plans
• Maintain and build tools for your team to support knowledge sharing and help to standardise processes across EU team

In the Headcount finance team, we work with stakeholders across all lanes including transportation and fulfilment centres to help the business achieve its goals. Your responsibilities could include anything from capturing and analysing data around KPIs, building models, planning resources, driving savings projects or making data-backed business decisions around controllership and network design.

• MBA, or CPA
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards