BIE I Finance, Amazon Now Quick Commerce

- 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) - Experience with scripting language (e.g., Python, Java, or R) As a Business Intelligence Engineer, for financial and business analytics, you'll be working on reporting, automation and enhancement of reporting of financial and business metrics for Amazon Now (Project Tez) Quick Commerce Business. We're seeking someone who thrives on ambiguity, harnessing their first-principle problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, coupled with a penchant for out-of-the-box thinking, and attention to detail will be instrumental in navigating the complex landscape of our initiative. A successful candidate will possess: Extraordinary Business Intelligence Engineer skills Impeccable attention to detail, adept at juggling multiple projects and priorities with finesse. A knack for thriving in a fast-paced, innovation-driven environment, where adaptability is key. Strong analytical and quantitative skills, leveraging data and metrics to inform strategic decisions. Clear and compelling communication skills, capable of articulating data insights to diverse stakeholders. If you're ready to challenge the status quo, lead with innovation, and leave an indelible mark on the future of e-commerce, then we want to hear from you! Key job responsibilities Deliver on all analytics requirements for finance and business required for launch of the new initiative Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.