Amazon Delivery Consultant - DevOps Professional Services Israel, Tel Aviv District 885976723
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Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in a fast-paced, dynamic environment.Key job responsibilities
• Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutionsA day in the life
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
PREFERRED QUALIFICATIONS
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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