Amazon Senior Business Intelligence Engineer AWS Support 

United States, Washington, Bellevue 

821635478

Analytics topics include, but are not limited to:1. Product / Value Proposition design
2. Customer / Go-to-market
3. Customer Experience
4. Business Planning & Forecasting
Key job responsibilities
- Develop, launch, and scale self-service analytics and insights offerings
- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
- Expert-level SQL- Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
- Effectively communicate (written and verbal) solutions and methodologies to senior leadership- Complete ad hoc data retrieval and analysis
- Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals
Diverse 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 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 SQL experience
- Experience with theory and practice of design of experiments and statistical analysis of results
- 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
- Knowledge of data warehousing and data modeling