Amazon—Business Analyst, Catalog Support and Operations, GCO

Job description

Description: Amazon’s Global Catalog Operations team is looking for a customer focused Business Analyst to help us make the world’s best product catalog even better. The successful candidate should be able to leverage the latest in data mining, predictive modeling and business analysis to discover key meaningful, actionable insights to improve our catalog quality. You have excellent quantitative and data analysis skills, good business acumen, curiosity to learn, superior communication skills, and the ability to use data and models to influence cross-functional teams. You have a strong bias toward data driven decision making, and an innate ability to understand how metrics relate to business problems and to each other. You are experienced with and excited by mining multiple large and complex datasets in order to deep dive and understand the root causes of problems and make recommendations. Key job responsibilities In this role, the BA will be responsible for leveraging data driven approach to proactively identify opportunities to improve the quality of Amazon’s catalog by performing the following: • Partner with technology leaders, program managers, operations leaders and other internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality. • Define, design, measure and present metrics / reports on different programs to Senior Management. • Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting • Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Develop solutions that utilize the highest standards of analytical rigor and data integrity. • Analyze and solve business problems for understanding root causes and driving forward-looking opportunities • Propose optimal techniques to sample massive product catalog for humans to audit different dimensions of data quality issues • Establish relationship between output metrics and drivers in order to identify critical drivers and control critical drivers. • Ability to write functional specs for tools and drive UAT for business requirements A Business Analyst will use the following tools - - SQL (Oracle/Redshift) - Excel Advanced - Tableau/Quicksight - AWS - Python About the team High quality data powers unrivalled product discovery, informs customer buying decisions, offering a large selection. The quality of Amazon’s product catalog is one of the most significant controllable inputs into building great customer experiences. Now take the world’s largest product catalog and imagine how you could influence the experience for millions of customers on the world’s largest e-commerce site. Amazon’s Catalog Quality group own catalog quality. We combine customer behavior and expert knowledge to identify pathologies, define quality standards, and measure the state of the catalog. We build scalable solutions which improve both buying and selling experiences at Amazon. Requirements: - 1+ years of tax, finance or a related analytical field experience - 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience - Experience defining requirements and using data and metrics to draw business insights - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience working with Tableau - Experience using very large datasets - Experience using Python or R for data analysis or statistical tools such as SAS 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.