Role Description:
We are seeking a highly analytical Business Analyst to join our Buyer Risk Prevention team at Amazon. As a Business Analyst in this role, you will be responsible for analyzing large datasets to identify risk trends and points of customer friction, developing scalable solutions to prevent these risks, and collaborating with cross-functional teams to deliver high-impact business results.
Key Responsibilities:
* Understand various operations across Payment Risk
* Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
* Perform business analysis and data queries using scripting languages like R, Python, etc.
* Map stakeholder requirements with data sources/data warehouse
* Own delivery and backup of periodic metrics, dashboards to leadership team
* Draw inferences and conclusions, create dashboards and visualizations of processed data, identify trends, anomalies
* Execute high-priority projects to create robust, scalable analytics solutions and frameworks
* Perform business analysis and data queries using appropriate tools
* Work closely with internal stakeholders to align focus area
* Execute analytical projects and understanding of analytical methods
Requirements:
* Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field
* 1+ years of tax, finance or a related analytical field experience
* Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
* Defining requirements and using data and metrics to draw business insights
* Demonstrating problem-solving and root cause analysis
* Reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
* Microsoft Excel at an advanced level, including pivot tables, macros, index/match, vlookup, VBA, data links, etc.
* Using databases with a large-scale data set
* 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects
Preferred Qualifications:
* Experience in Amazon Redshift and other AWS technologies
* Scripting for automation (e.g., Python, Perl, Ruby)
* Python or R for data analysis or statistical tools such as SAS
* E-commerce / on-line companies in fraud / risk control functions
* Analytical mindset and ability to see the big picture and influence others
* Detail-oriented and solving unstructured problems
* Good oral, written and presentation skills combined with group discussions explaining complex solutions
* Applying analytical, computer, statistical and quantitative problem-solving skills
* Working effectively in a multi-task, high volume environment
* Adaptable and flexible in responding to deadlines and workflow fluctuations
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.