Job Location: Bangalore
2+years of experience in business analysis · Experience with SQL or ETL · Experience defining requirements and using data and metrics to draw business insights · Bachelor’s Degree in any quantitative discipline such as Information Systems, Computer Science, Statistics, Operational Research or Engineering · Substantial experience working in Analytics / Business Intelligence environment · Experience in working with databases and SQL in a business environment · Demonstrated use of analytical packages and query languages such as SAS, SPSS and SQL · Prior experience in design and execution of analytical projects · Worked extensively in large scale data bases and data warehouse
Proficiency in verbal & written communication in English. – Experience in solving business problems using analytics – Advanced SQL know-how – Experience in using Business Intelligence Tools such as Tableau, Quicksight
Job summary
Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform.
As a Risk Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.
Use analytics and data mining techniques to solve complex problems and drive business decisions. Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country Solve analytical problems, and effectively communicate methodologies and results Build analyses for product launches Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
- Exposure to scripting languages (Python/ R) – Exposure to problem solving using statistical techniques (Linear regression, Logistic regression, Clustering algorithms)
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