Amazon Sr BIE AWS Partner Organization 

United States, New York, New York 

632028361

Key job responsibilities
• Provide thought leadership in global business deep dives across a variety of key performance indicators.
• Proactively make and justify recommendations based on statistical techniques, deep familiarity with the customer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.
• Automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements.
• Own alignment and standardization of analytical initiatives across the global partner teams.
• Define, develop, and build business critical metrics and reports across all business levers, key performance indicators, and financials.
• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.
• Drive efforts with business leaders, BI leaders and executive management across the partner organization.
• Stay up to speed with the latest technology/techniques in Generative AI with a view to use it to raise the bar on reporting across the APO.
• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.
• Translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.A day in the life
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.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.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies