Amazon Sr Business Intelligence Engineer AWS GDSP & 

United Kingdom, England, London 

333963244

Key job responsibilities• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools
• Build and deliver high quality data sets to support data scientists and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Translate basic business problem statements into analysis requirements.
• Use analytical and statistical rigor to answer business questions and drive business decisions.
• Find and create ways to measure the customer experience to drive business outcomes.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
• Troubleshoot operational quality issues.Diverse Experiences
AWS 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.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

- 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 managing, analyzing and communicating results to senior leadership