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Amazon
At Amazon, we're working to be the most customer-centric company on Earth. To get there, we need talented, bright, and data-driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history.
Within Amazon’s Workplace Health & Safety team, ‘The Employee Safety Experience (ESE)’ team is seeking an analytical and detail-oriented candidate. This is an exciting opportunity to join a team in a huge growth area for Amazon. The vision of this team is to build an Amazon safety experience that is responsive to our employees needs and actionable by our leaders. One of the vertical of ESE is ‘The Business and Program Analysis’ team with focus on providing technical guidance and thought leadership on all ESE programs from ideation through execution.
The ideal candidate will have a strong analytical mindset, attention to detail, and the ability to communicate complex information clearly and concisely. You should be comfortable working with data, have basic SQL skills, and be eager to learn and grow in a fast-paced environment.
Key job responsibilities
Key responsibilities include:
• Provide analytics solutions to solve business problems
• Extract available data and apply basic transformations using spreadsheets, SQL, and other relevant tools
• Use descriptive analysis techniques to understand impact and identify drivers
• Generate findings that inform team decisions by providing visibility to business performance, highlighting anomalies, and revealing new opportunities
• Document your analytical approach, including metric definitions, applied logic, assumptions, and data sources
• Work with technology teams to contribute towards development/ improvement of portals, dashboards and online tools including logic validation.
• Share findings with your team through written and verbal communication channels
• Learn and apply analytical best practices to improve team and process efficiency
• Help train new peers and contribute to the development of your team
- Bachelor's degree in a quantitative field (e.g., Business, Economics, Statistics, Mathematics, Computer Science) or equivalent practical experience
- Proficiency in Microsoft Excel and SQL skills
- Experience with data analysis and creating visualizations
- Knowledge of AI/ML tools and platforms (e.g., Amazon SageMaker, TensorFlow, Python libraries for data analysis)
- Understanding of basic machine learning concepts and their business applications
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Ability to work effectively in a team environment
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