Amazon Business Intel Engineer II AWS Enterprise Support 

United States, Washington, Seattle 

967562501

Sales, Marketing and Global Services (SMGS)
You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics.Key job responsibilities
• Build dashboards that enable business insights and support business review mechanisms, including building and designing back end architecture, data models, ELT jobs, etc as needed
• Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks
• Deliver dashboards, analysis, and develop predictive models in an Agile development environment
• Collaborate with business analysts, data engineering peers, Business Operations, finance, and internal customers to deliver scalable consumption of analytics insights and statistics
• Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling, simulation, and visualization
• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement
• Retrieve and analyze data from database tables (ex. Redshift, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
• Analyze volumes of data to find the root causes behind variances and drive insights
• Build new ML, LLM and GenAI based analytical tools, interfacing with business and technical stakeholders
• Develop models and metrics providing insights on customer experience and business performance
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.About AWSWork/Life Balance
Mentorship & Career Growth
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- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using machine learning, LLM and GenAI technologies to enhance engagement with data and drive insights