Sei Teil des Amazon Deutschland Services GmbH Teams – Werde Senior Financial Analyst, EU Reverse Logistics Finance in München

Amazon Deutschland Services GmbH

• A degree
• Relevant experience in a finance role leading a project or programme and partnering with multiple stakeholders within a business
• Relevant experience working with Excel, reporting tools and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau
• Relevant experience in financial modelling

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.

• A bachelor's degree in finance, Mathematics, or Economics
• Experience troubleshooting problems and offering solutions to streamline complex challenges
• Experience of working in a large team or fast-paced, corporate environment
• Experience of making strategic business decisions and manage internal relationships

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.

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