Business Intelligence Data Analyst, Global Solutions & Risk Compliance (GSRC)

Overview

• 3+ year professional experience using SQL to gather data and generate reports • Experience with data visualization using Tableau, Quicksight, or similar tools
Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. Amazon's global compliance analytics team is looking Business Intelligence Data Analyst to support global compliance and supply chain. This role will be responsible for supporting local data management, report creation, and strategic analytic needs that teams across global stakeholder teams. Key job responsibilities The Business Intelligence Data Analyst will learn the ins and outs of all facets of global supply and compliance, and be a trusted partner to teams by sharing data-driven insights and actions based on deep understanding of the business. You deliver critical deliverables ranging from reporting, automated insight generation, advanced analytics, comprehensive datasets, at standards that raise the bar for the rest of the organization. The basic responsibilities include, but not limited to – • Interface with business customers, gathering requirements and delivering complete data analytics solutions. • Develop insightful business visualization, modifying the data pipeline, and generating reports through a wide variety of data sources using SQL • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. • Investigate and implement new big data technologies to provide automatic resolutions to address business needs.