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Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quick Sight, or similar tools
- Experience with R, Python, Weka, SAS, MATLAB or other statistical/machine learning software
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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