Amazon Sr Business Intelligence Engineer GO-AI Technology & Development Team 

United States, Massachusetts 

237563683

Key job responsibilities
• Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
• Design and automate ETL pipelines for business metrics.
• Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.
• Research the most appropriate methodologies for a given analytical problem.
• Contribute to key business documents.
• Collaborate with stakeholders to understand business domains, requirements, and expectations.
• Work with owners of data source systems to gain insights into capabilities and limitations.
• Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting: data integrity, test design, validation, and documentation.
• Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems.
• Excellence verbal and written communication skills.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience building ETL pipelines and processes with large datasets
- Experience using SQL to pull data from a database or data warehouse
- Knowledge of data warehousing and data modeling
- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field