Amazon Sr Business Intelligence Engineer Managed Spend Response 

United States, Washington, Seattle 

251850420

You will build the analytics and the supporting structures needed to analyze, dive deep, and innovate product strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists, and Software Development Engineers to solve challenging problems. You need be comfortable using intellect, curiosity, and technical ability to develop innovative solutions to business problems. You will learn different aspects of the business and understand how to build or apply analytics tools to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will possess leadership skills, proven ability to develop, enhance, automate, and manage ETL pipelines end to end. The ideal candidate will have strong data mining and analytical skills and will be comfortable facilitating think big ideas and working from concept through to execution. The ideal candidate must have demonstrated ability to gather business requirements, and translate them into scalable ETL and analytics solutions.Key job responsibilities
• Work closely with the BIEs, DEs, and Scientists in the team and collaborate effectively with product managers to create scalable solutions for business problems.
• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives
• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills.
• Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing.
• Mentor and guide junior members in the team.
• Contribute to supplier operations strategy development based on data analysis
• Lead strategic projects to formalize and scale organizational processes
• Build and manage weekly, monthly and quarterly business review metrics.
• Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.

- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience building measures and metrics, and developing reporting solutions
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs

- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Knowledge of data warehousing and data modeling