Business Research Analyst I @ Amazon
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About Amazon.com
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. With low prices, vast selection, and convenience, Amazon continues to evolve as a world-class e-commerce platform driven by innovation.
About the Team
The RBS group plays a critical role in enhancing Amazon's online product lifecycle and buying operations by improving retail selection and influencing customer decisions through data-driven insights.
Overview of the Role
The Business Research Analyst I is responsible for continuous improvement projects within the RBS teams. The role focuses on eliminating defects, automating tasks, enhancing vendor/customer experience, and improving key performance metrics. Team members work across local and global teams to drive improvements, perform big data analysis, and develop functional specifications for business cases.
Key Responsibilities
- Scope, drive, and deliver complex projects across multiple teams.
- Perform root cause analysis using data to form and validate hypotheses.
- Utilize programming and ML tools (Python, R, SQL, etc.) for analysis.
- Build and analyze large data sets to optimize processes.
- Communicate effectively with stakeholders at all levels.
Key Performance Areas
Data Analytics, Data Sciences, and Machine Learning.
Basic Qualifications
- 2+ years of data analysis experience with tools like Redshift, Oracle, NoSQL.
- Bachelor's degree required.
- 3+ years of Python or R experience.
- 1+ year in financial/business analysis.
- Proficiency in SQL and data analysis packages such as Numpy, Pandas, Scipy.
Preferred Qualifications
- Knowledge of data modeling and pipeline design.
- Experience in NLP, Text Processing, and Deep Learning.
Key skills/competency
Amazon, Business Research Analyst I, data analytics, SQL, Python, R, ML, big data, continuous improvement, stakeholder communication
How to Get Hired at Amazon
🎯 Tips for Getting Hired
- Customize your resume: Emphasize relevant data analytics experience.
- Showcase technical skills: Highlight proficiency in Python, SQL, and ML tools.
- Research Amazon: Understand its culture, innovation, and business operations.
- Prepare for data challenges: Practice data analysis and modeling tasks.