Business Intelligence Engineer

Job description

DESCRIPTION

Amazon.com's Transaction Risk Management Services (TRMS) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. TRMS safeguards every financial transaction across all Amazon sites. As such, TRMS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. TRMS organization is looking for a Business Intelligence Engineer for its Operations Analytics team. The team is being grown to provide insights about TRMS operations and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of TRMS operations.

As a Business Intelligence Engineer, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, 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. As well, 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.

Responsibilities:
· Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions
· Employ appropriate algorithms to discover patterns of risk and abuse to 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 predict models to forecast risks 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

Desired profile

BASIC QUALIFICATIONS

· Bachelor of Science with relevant experience in Data Mining and Statistical Modeling
· 2+ years of experience in Python, Shell, MATLAB, SQL, R, Fortran, JavaScript, HTML/CSS or Tableau
· 2+ years of experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting preferably from an internet environment