Business Intelligence Engineer II
About The Position
As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas.You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit. This will be a great fit if you get excited by partnering with Product Managers and technical peers to dig deep into the business challenges to understand and identify insights that will enable us to meet associate needs at a global scale. You need excellent analytical abilities as well as business acumen and an ability to tie together from across Amazon to help enable effective decision making. An ability to communicate insight to the business via development and implementation of ongoing and subject-specific reporting artifacts is a critical skill in this role. A key aspect of this role involves leveraging Generative AI and intelligent agents to analyze vast datasets to uncover hidden patterns and emerging business opportunities. You will be responsible for generating data-driven narratives that translate complex insights into actionable business recommendations. The role requires using AI to automate the discovery of correlations and causalities in business operations, and develop AI-powered dashboards that tell compelling stories through data visualization.
Requirements
- 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 building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Nice To Haves
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in Statistical Analysis packages such as R, SAS and Matlab
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
