01 ott - Torino
Amazon
h3Business Intelligence Analyst, CFX - Brazil /h3pThe LATAM CFX team is looking for a talented, smart, and entrepreneurial Business Intelligence Analyst (BA) to help us build an exceptional Customer Fulfillment Experience (CFX) in the complex and exciting Concessions (NCRC) and Returns Experience (RCX) space to support LATAM fast-paced growth. /ppAs a Business Intelligence Analyst (BA) in this team, you will be responsible for driving and building data analytics solutions to identify, prevent, anticipate, solve for customer pain points, network defects, abuse behaviors, policy and catalog gaps, and opportunities throughout the purchase and post-purchase journey in MX and BR. /ppAs a Business Intelligence Analyst (BA), you'll be at the heart of Amazon's data-driven culture, building programmatic and analytics solutions that power intelligent business decisions and solve opportunities about concessions, returns experience policies, operating procedures, network and product/program's logic. Your insights will shape strategy, drive customer satisfaction, and drive business growth and profitability across one of Amazon's most critical areas. /ppYou will partner closely with MX/BR NCRC Returns PMs, BIE Leads and Engineers, Operations Managers, and IES BIE/Applied Scientists to solve business problems and should be skilled at translating complex or ambiguous problem statements into analytic requirements. /ppAdditionally, you will act in an analytic consultative capacity and can both articulate the “so-what” of your analytic results and model potential/real outcomes of proposed solutions to senior leadership. /ppA successful candidate will develop a strong understanding of our business and make data-driven conclusions and programmatic solutions with direct impact in Amazon's profitability.
They will be comfortable with ambiguity and learning new analytical skills, while working in a fast-paced dynamic environment. /ph3Key job responsibilities /h3h3Strategic Insights and Solutions /h3ulliYou follow Amazon product development best practices and work backwards to identify gaps and defects in customers shopping journey. /liliSpearhead business intelligence data analytics initiatives that directly impact Amazon's profitability. /liliYou develop advanced analytical tools and models to uncover hidden business opportunities. /liliPresent compelling insights, business models, programs, workflows, policies recommendations to senior leadership, influencing key decisions. /li /ulh3Innovate with Advanced Analytics /h3ulliHarness the power of Large Language Models (LLMs) and AI to generate business impact /liliLead data-driven discussions with Product and Operations teams to accelerate growth and solve for leakages /liliPioneer new methodologies in returns experience, abuse and defect analytics, setting industry standards /liliCreate intuitive and automated analytical tools that transform complex data into clear, actionable insights /liliContinuously innovate and simplify tools and processes, maximizing impact /li /ulh3Influence Through Communication /h3ulliCraft compelling narratives from data,
influencing key stakeholders /liliDevelop effective metrics that shape the future of Amazon's purchase, delivery and returns experience /liliCollaborate across teams to drive adoption of data-driven strategies /li /ulh3About the team /h3pJoining the CFX team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. /ppWe are looking for a leader with super-powers in analytics and getting things done (a not-that-frequent combination!). /ph3Basic Qualifications /h3ulliExperience with data visualization using Tableau, Quicksight, or similar tools /liliExperience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. /liliExperience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) /liliExperience with scripting language (e.g., Python, Java, or R) /li /ulh3Preferred Qualifications /h3ulliMaster's degree, or Advanced technical degree /liliKnowledge of data modeling and data pipeline design /liliExperience with statistical analysis, co-relation analysis /li /ulpOur 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /ppAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply. /p #J-18808-Ljbffr
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