ADCI
Business Intelligence, Business Intel Engineer, amazon business
BIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“BI Engineer at ADCI. Skills: Data Engineering, Business Intelligence, Data Analytics. Design end to end projects. Execute end to end projects”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Data modeling experience, Data warehousing experience, ETL pipelines building experience, Statistical Analysis packages experience, R experience, SAS experience, Matlab experience, SQL data pulling experience, Python scripting experience
Nice to Have
AWS solutions experience, EC2 experience, DynamoDB experience, S3 experience, Redshift experience, Data mining experience, ETL experience, Large-scale datasets experience, Complex datasets experience
What You'll Do.
Design end to end projects
Execute end to end projects
Manage WW Prime data infrastructure
Implement standardized processes
Implement automated processes
Deliver accurate data
Architect data analytics solutions
Build AI powered reporting systems
Build self-service analytics platforms
Process petabytes of data
Create data analysis products
Define business metrics
Implement business metrics
Build dimensional data models
Leverage AI technologies
Design self-service platforms
Enable business users
Lead project execution
Manage core services data infrastructure
Establish key relationships
Provide technical mentorship
Drive architectural decisions
How You'll Work.
Team & Collaboration
Amazon business units; Business Intelligence teams
Process & Methodology
Project execution
Full Job Description
Join Amazon's Prime Data Engineering & Analytics (PDEA) team as a Business Intelligence Engineer (BIE) to revolutionize how we understand, measure and serve our global Prime customer base. You'll architect and build enterprise-level data analytics solutions, including scalable ETL pipelines, automated AI powered reporting systems, and self-service analytics platforms that process petabytes of data daily across multiple dimensions. Working with technologies like AWS, Apache Kafka, Spark, and modern AI/ML tools, you'll create data analysis products that power critical decision-making across Amazon. As a BIE, you'll be instrumental in defining and implementing key business metrics, building efficient dimensional data models, and leveraging advanced AI technologies like QuickSuite and ML-powered analytics. You'll design intuitive self-service platforms that enable business users to independently explore data, discover insights, and create automated reports. Beyond technical implementation, you'll lead end-to-end project execution, manage worldwide Prime core services data infrastructure, and establish key relationships across Amazon's business units. This role offers the opportunity to provide technical mentorship, drive architectural decisions, and shape the future of Amazon Prime's data ecosystem, directly impacting millions of customers globally. Key job responsibilities Responsibilities 1. Own design and execution of end to end projects 2. Own managing WW Prime data infrastructure 3. Establish key relationships which span Amazon business units and Business Intelligence teams 4. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs Basic Qualifications: - 3+ 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 bui
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