המקום בו המומחים והחברות הטובות ביותר נפגשים
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)
משרות נוספות שיכולות לעניין אותך