Amazon Sr Business Intelligence Engineer Deal Tooling 

United States, Washington, Seattle 

899548654

Key job responsibilities
In this role:• You will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable data-driven insights and decision support to senior leadership.
• You will establish automated processes for large scale data analyses and create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals.
• You will drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization.
• You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives.
• You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.
About the team
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 AWS
Work/Life BalanceMentorship 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.

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of experience programming to extract, transform and clean large (multi-TB) data sets
- 3+ years of experience with data visualization tools such as Tableau, Quicksight, Power BI or similar tools
- 3+ years of experience working directly with business stakeholders to translate between data and the business, while presenting and communicating results to senior leadership

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with statistical techniques, forecasting, predictive models and other advanced data science applications