Amazon Business Intelligence Engineer World Wide Field Enablement 

United States, Washington, Seattle 

39783624

As a Business Intelligence Engineer within the WWFE organization, you will play a strategic role in driving the design, implementation, and delivery of cutting-edge business intelligence solutions.Key job responsibilities
• Leveraging tools like Amazon QuickSight for advanced data analysis, visualization, and reporting
• Demonstrating expertise in SQL and being proficient in Python and AWS services to tackle complex data challenges
• Applying advanced data science techniques, such as chi-square, t-test, and correlation analysis, to drive data-driven decision making
• Leading the introduction of innovative technologies, including generative AI and machine learning, into our reporting and analytics workflows
• Implementing robust data security and governance measures to ensure the protection of sensitive customer information
• Centralizing and harmonizing data sources to enable self-service analytics capabilities for our teams and customers
• Mapping sales output with training performance and conducting in-depth correlation analysis using your data science skills
• Mentoring and developing other data and analytics professionals within the organization, sharing your knowledge and expertise
• Ability to communicate insights effectively to both technical and non-technical stakeholders
A day in the lifeDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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