At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. The goal of the Same Day organization is to build a world class last mile operation, exceeding the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and cost effectively as possible.

We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network optimization. The Topology Strategy Analyst will work within the Speed Planning team, helping us to create and extract meaning from large volumes of data to make the right business decisions on the coverage for each site within the EU network and support expansion or network optimization.

In this role, you will dive deep into data to drive improvements across quality, speed, and cost metrics, partnering with stakeholders from first- and middle-mile functions as well as local operational teams. You thrive in an environment of ambiguously defined problems, big challenges, and rapid change. You possess strong collaboration skills and can balance detailed execution with a strategic mindset.

You will work on a variety of analytics projects, designing and implementing solutions to improve operational consistency, reliability, and overall end-to-end delivery performance. Through a combination of data-driven insights and hands-on project execution, you will identify areas of opportunity and propose process changes to reduce defects, enhance customer experience, and optimize resource allocation.

In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities., Use analytical tools and methods (e.g., Excel, SQL, visualization platforms) to generate clear insights and recommendations for improvements.
- Run simulations and scenario analyses to support leadership decisions on network configuration and expansion strategies.
- Define proxy information and heuristics for data that is incomplete or unavailable, constantly seeking to automate and streamline analysis.
- Simplify manual tasks by developing scripts or leveraging tools (e.g., Python, R) to increase efficiency and reduce error.
- Create dashboards or visualizations that make complex data accessible and actionable for operations teams and senior stakeholders.
- Gather and interpret live operational data, run pilot tests, and confirm or challenge existing hypotheses and models.

Bachelor's degree or equivalent.
- Experience using data and metrics to derive business insights.
- Proficiency with Microsoft Excel (including pivot tables and common functions).
- Working knowledge of SQL or similar query languages.
- Familiarity with data visualization tools (e.g., Tableau, QuickSight) to communicate analytical results.
- Fluency in written and spoken English., Master's degree in Data Analytics or Data Science, or equivalent
- Experience in automation through programming languages such as Python or R.
- Strong oral and written communication skills, as well as ability to think clearly, analyze quantitatively and problem-solve
- Exceptional written and verbal communication skills; capable of converting complex analytical findings into concise presentations for senior audiences.
- Sound business judgment and proven ability to balance strategic thinking with day-to-day execution.

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.