Amazon Business Intelligence Engineer II 

India, Telangana, Hyderabad 

991988266

Key job responsibilities
• Translate business risks and needs into the development of analytics for fraud and risk detection
• Coordinate with technical teams as appropriate to develop and implement analytics and reporting needs
• Partner with stakeholders to gather requirements and integrate necessary data sources to support business analysis and reporting
• Design and implement data warehouse / business intelligence and analytics solutions. Take ownership of critical reports and dashboards
• Design optimized data model and create data ingestion and data loading pipelines
• Implement end to end optimized solutions and recommend design improvements via re-architecture or automated solutions
• Recognize and adopt best practices for building a scalable business intelligence platform
• Apply analytics and data mining techniques to solve complex problems, drive business decisions and identify major gaps and opportunities
• Assess trends, analyzes data and proposes hypotheses to identify potential fraud patterns and financial abuse
• Collaborates with the business to research, develop and test new fraud detection and prevention rules
• Coordinate with global team members to conduct deep dives walk-throughs and quality reviews of evidence to resolve complex problems.
• Mentor and provide technical guidance to other BIEs on resolving data quality issues. Act as Subject Matter Expert when it comes to data questions.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Knowledge of SQL and data warehousing concepts
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field