Business Intelligence Analyst
4 weeks ago
We are seeking a highly skilled Business Intelligence Analyst to join our team at Amazon. As a key member of our Operations team, you will play a critical role in driving improvements in our existing solutions and enabling the implementation of new solutions for our customers.
Responsibilities- Work across various teams at country, regional, and cross-regional levels to drive improvements in existing solutions and enable the implementation of new solutions for customers.
- Lead projects and opportunities across the Operations team that are business-critical for MENA AMPS.
- Collaborate with product, technology, and operations teams to drive automation through deterministic rules setup and machine learning algorithms.
- Identify and drive new opportunities based on customer and business data, and measure the performance of the same.
MENA AMPS (Amazon Marketplace Professional Services or ASP360) supports Selling Partners (SPs) with paid account management services and enhances both CX and SPX via a suite of unified offerings. We aim to be the preferred choice for SPs during their Amazon journey to expand and optimize their businesses.
Basic Qualifications- Bachelor's Degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Data Science, Analytics, or similar).
- 3+ years of experience writing complex SQL queries to perform data analysis.
- 3+ years of experience in business intelligence, data analyst, or related quantitative functions.
- 5+ years of experience building measures and metrics, and developing reporting solutions.
- 2+ years of experience in scripting for automation (e.g., Python and Excel VBA) and advanced SQL skills.
- Experience writing and optimizing SQL queries to work with complex/large datasets.
- Proficient in visualizing data through tools like QuickSight, Tableau, or similar tools.
- Master's or higher degree in an analytical area such as Computer Science, Mathematics, Statistics, Engineering.
- E-commerce, retail experience preferred.
- Experience working closely with product and tech teams developing large-scale data products.
- Demonstrated analytical skill in prediction, data validation, and optimization problems.
- Experience in theory and practice of Design of Experiments and statistical analysis of results.
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