Amazon Sr Business Intelligence Engineer AWS Kumo Analytics 

United States, Washington, Seattle 

44972279

Analytics topics include, but not limited to:1. Product / Value Proposition design
2. Customer / Go-to-market
3. Customer Experience
4. Business Planning & ForecastingKey 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
- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)
- Knowledge of AWS products such as Redshift, QuicksightAbout AWS:Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & 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.Work/Life Balance

- 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 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