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2 weeks agoin-house

Financial Analyst, Customer Fulfillment Finance

Amazon / Software Development
Munich, Bavaria, GermanyOn-siteFull Time
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AI Summary

The Financial Analyst will leverage fulfillment metrics to identify cost-saving opportunities and provide financial insights to support strategic business decisions. They will own reporting processes and conduct root cause analysis to improve site productivity across European fulfillment centers.

Candidates must hold a bachelor's degree and possess strong financial modeling skills in Excel, including macros and VBA. Experience in an analytical role and proficiency in data mining tools like SQL or Python are highly preferred.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Education: bachelor degree, postgraduate degree
Work Arrangement: On-site
Experience Level: 2 - 5 years
Hours: 40 hrs/week
Language: English
Benefits
Growth opportunitiesDiverse team environmentProfessional developmentWorkplace accommodations
Key Skills
Financial modelingExcelData analysisSQLPythonTableauRoot cause analysisForecastingBudgetingVariance analysisPower QueryVBAMacrosGenerative AICommunicationPresentation
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We are looking for Financial Analyst that is excited to join a tech company that is constantly improving and reimagining the logistics industry. Our candidate should be passionate about using data to solve big, complex and ambiguous problems. The ideal candidate should be eager to continuously learn and improve their skills. You should be attentive to which details make all the difference. Do you want to contribute shaping the new standard of shopping? If so, come and join the Customer Fulfillment Finance Team.

As part of the Customer Fulfillment Finance team, you will join a team that is passionate about numbers, data, and how to use them to generate insights and improve our business. We support and influence the organization by providing a holistic and financial perspective, we are the trusted business advisors. We collaborate with our partners to ensure leaders have the most up to date and reliable information, and work with them to make sure we are making the best possible decisions.

Learning opportunities:
• Autonomy to innovate and deliver new approaches that impact the operations of the business
• Learn from inspiring and diverse team
• Growth in a fast-pace environment where every day is day one;
• Learn from people with a wide variety of professional backgrounds;
• Ability to develop new skills and opportunities through lateral, geographical or functional moves.

Key job responsibilities
• Leverages Customer Fulfillment metrics to identify cost out opportunities by linking up operations and financials
• Understands the details of the cost structure to make thoughtful judgement calls in ambiguous environments where data may be difficult to procure.
• Root cause analysis and uncovering core issues using data, then assisting the Fulfillment Center improve and create new measures for site productivity
• Builds trusted relationships with your business partners to influence and support tactical and strategic business decisions that steer business improvements and cost reductions
• Works with data source providers and technology teams to ensure that key decision data is accurate, automated and timely
• Owns the Financial and operational planning processes to produce a challenging/stretch/bold yet solid operational plan

A day in the life
You will mainly focus on performance metrics of Amazon fulfillment centers in the EU. You will own daily, weekly & monthly reporting, you will be involved in productivity reviews, you will travel across Continental Europe to visit other similar Amazon sites to understand differences and based on data analysis and your gained knowledge you will steer the Senior Leadership the right direction. Basic Qualifications: - Bachelor's degree
- Speak, write, and read fluently in English
- Experience developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query)
- Some experience in an analytical or numbers-driven role, or a strong academic foundation in a quantitative discipline Preferred Qualifications: - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or MBA
- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience working with Excel and large-scale data mining and reporting tools such as Python, SQL, or Tableau
- Experience in root cause analysis and troubleshooting or problem solving
- Experience working in a large team or fast-paced corporate environment
- Familiarity with basic finance concepts such as forecasting, budgeting and variance analysis.
- Experience with Generative Artificial Intelligence (GenAI) in a professional or academic environment.
- Good communication and presentation skills.
- Curiosity and a desire to learn and develop.

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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