Business Intelligence Engineer, Worldwide Customer Service Finance
Core
Design and implement BI solutions, data pipelines, and dashboards to improve finance systems and deliver insights to global customer service teams.
Role type
Business Intelligence Engineer
Builds
Near real-time data pipelines, self-service deep-dive tools, and dashboards (via careerplan.io/jobs/10522278-business-intelligence-engineer-worldwide-customer-service-finance-at-amazon)
Domain
Customer Service Finance / Data Engineering
Required skills
SQL, ETL, data warehousing, data modeling, statistical analysis, automated reporting, data visualization, Python scripting, large multi-dimensional dataset processing
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, statistical analysis packages (R, SAS, Matlab)
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, Python, R, SAS, Matlab, EC2, DynamoDB, S3
Responsibilities
Partner with Engineering, Operations Finance, and Capacity Planning teams to standardize processes and scale tools; build and maintain efficient near real-time data pipelines from disparate sources; design functional and technical aspects of BI solutions including user interfaces and data architecture.
Seniority
Mid-level, hands-on IC