Amazon Sr Business Intelligence Engineer BIE Amazon Pay MarTech Operations 

United States, Washington, Seattle 

676961153

You will succeed in this role if you have strong technical acumen and experience in developing reporting infrastructures and flexible front-end tools. You will conduct deep dive analyses of business growth opportunities and formulate conclusions and recommendations to be presented to senior leadership.Key job responsibilities
• Work at both the strategic and tactical level to champion bold, innovative data modeling and analytics
• Own generating actionable insights through the development of metrics and dashboards
• Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions
• Provide insights to Marketing and Product Management teams as new initiatives are being identified, prioritized, implemented and deployed
• Develop clear communications for recommended actions
• Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives
• Work to accelerate Amazon Payments machine learning efforts to scale globallyA day in the life
• Directly interface with business customers, gathering requirements and delivering complete BI solutions.
• Analyze and extract relevant information from large amounts of data to help automate and optimize solutions to key business problems.
• Drive roadmap and sprint planning cycles, participate and support business reviews, annual planning and goal setting exercises.
• Work closely with software engineering and data engineering teams to build scalable data infrastructure solutions.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Establish scalable, efficient, automated processes for large scale data analyses.Seattle, WA, USA

- 7+ years of SQL experience
- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Degree in Computer Science, Mathematics, Statistics, Finance or related technical field
- 7+ years of relevant experience as a business intelligence engineer/analyst, creating reports, using metrics and data to backup business cases, planning, and decisions
- 7+ years of hands on experience in data extraction, transformation, data mining and clean large (multi-TB) data sets
- Experience with data visualization software (Tableau, QuickSight)