As a Business 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 TRMS operations
Solve analytical problems, and effectively communicate methodologies and results
Build analyses for product launches and operations and help predict workflow and capacity requirements for TRMS operations
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, Bachelor s Degree in any quantitative discipline such as Information Systems, Computer Science, Statistics, Operational Research or Engineering
Proven experience working in Analytics / Business Intelligence environment
Demonstrated 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
Proven experience working in large scale data bases and data warehouses Experience in e-commerce / on-line companies in fraud / risk control functions
Coding skills in one of the modern languages Java, Python, Scala, R
Experience with visualization technologies such as Tableau
Experience / knowledge of advanced machine learning techniques such as GBM, random forest, etc.
Compelling communication and influencing skills and participation in winning the support of management and influence the course of major strategic decisions
Meets / exceeds Amazon s leadership principles requirements for this role
Meets / exceeds Amazon s functional / technical depth and complexity for this role