Senior Data Analyst for Global E-commerce Expansion
2 days ago
We are seeking a highly skilled Senior Data Analyst to join our International Seller Growth team at Amazon. This is an excellent opportunity to leverage your expertise in data analysis and machine learning to drive business growth and expansion globally.
The successful candidate will work closely with our central science team, applying advanced statistical models and econometrics to analyze seller data and inform strategic decisions. Your findings will have a direct impact on millions of sellers worldwide and contribute to Amazon's global expansion strategy.
Key Responsibilities- Analyze complex datasets using advanced statistical techniques to extract actionable insights from feedback.
- Collaborate with scientists and economists to develop AI-powered solutions that enhance our e-commerce marketplace.
- Own and develop econometric models to measure and forecast the ROI of various investments and initiatives.
- Apply machine learning and statistical techniques to solve intricate business problems.
- Develop scalable, production-ready data science solutions that can be deployed across multiple international marketplaces.
- Communicate complex analytical findings and recommendations to senior leadership, influencing strategic decisions.
- Mentor junior data analysts, fostering a culture of innovation and excellence within the team.
Our central science team is the analytical powerhouse driving Amazon's International Seller Growth organization. We're a diverse group of data analysts, machine learning experts, and economists united by our passion for leveraging data and technology to solve complex business challenges.
We pride ourselves on our culture of innovation, where we're constantly pushing the boundaries of what's possible with data science and AI. Our team enjoys high visibility and collaboration with senior leadership, providing ample opportunities to influence strategic decisions and drive impactful changes.
What You'll NeedTo succeed in this role, you'll need:
- 5+ years of experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- 4+ years of experience as a data analyst
- Experience with statistical models e.g. multinomial logistic regression
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
The estimated salary for this role is $140,000 - $170,000 per year, depending on location and experience.
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