BIE II, WW Ops Finance S&A, Field Finance (Hiring Immediately)

Are you enthusiastic about the standardization of data and the automation ofBusiness Intelligence engineering processes to drive analytics and reporting?Do you excel in fast-paced, ambiguous environments? Are you passionate abouttransforming data into actionable recommendations, implementing datagovernance best practices, and defining standards for data access, quality,and consistency? If so, your search ends here! Join us to innovate and deliverworld-class business intelligence. Find out more about us in this video:https:www.youtube.comwatch?v=zt1qWl379rM The Worldwide Operations Finance Standardization & Automation (SnA) Tech teamis looking for a customer focused, analytically and technically skilledBusiness Intelligence Engineer (BIE) to join the team. As part of thetransportation operation, Amazon ships several millions of packages every yearto customers on time with high customer excellence. The role demands a comprehensive grasp of data and reporting, requiring anindividual with strong analytical capabilities and exceptional businessacumen. As a valuable member of the growing BIE team within the central Techorganization supporting WW operations finance, you will play a crucial role inshaping our strategic innovation program. Your contribution will empowerproject teams with insights into operational performance. The dynamic growthof the business and the evolving complexity of the global transportationnetwork make this position both exciting and challenging. The ideal candidatewill not only elevate the standard for data retrieval and analysis but willalso exhibit a keen curiosity to understand the business holistically,proactively delving into issues as they arise. Attention to detail,proficiency and advanced skills in SQLDWHPython, and a knack for solvingdata and reporting challenges are essential. Effective collaboration and clearcommunication with functional teams, both regionally and globally, areintegral to the role. The ideal candidate thrives in a fast-paced, dynamicenvironment, embodying a creative and analytical problem-solving approach,aligning with the Amazon motto to Work Hard. Have Fun. Make History.. Key job responsibilities Key job responsibilities The ideal candidate is a seasoned data professional with a strong bias foraction, possessing expertise in data modeling, ETL, SQL, and scripting.Additionally, they should have a passion for presenting data in a visuallyappealing and easily digestible manner. In this role, you will play a key partin identifying complex business problems, recognizing opportunities, andimplementing solutions to enhance Operations Finance-facing systems,processes, and tools. The successful candidate will be a self-starter andquick learner, comfortable with ambiguity, results-oriented, with a keenattention to detail. They must insist on high standards, demonstrate decision-making abilities, and be ready to adapt in a fast-paced, ever-changingbusiness environment. Your responsibilities will include setting data modelingstandards, constructing complex data pipelines, building and maintainingmultiple databases, identifying complexabstract problems, and uncoveringinsights through the use of statistical, data mining, and visualizationtechniques. Furthermore, you will contribute to process automation bydeveloping deep-dive tools, user interfaces (UIs), metrics, and dashboards tocommunicate insights in real-time to business teams. Successful team memberscollaborate effectively with business customers and cross-functional datamanagement teams to solve problems and implement innovative solutions. About the team S&A; WW Ops Finance Tech org started in Oct23 (Brand new org) and with verystrong tech product road map upcoming year. ### BASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQLetc. - Experience with data visualization using Tableau, Quicksight, or similartools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse andscripting experience (Python) to process data for modeling - Experience with SQL - Experience in the dataBI space ### PREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a businessenvironment with large-scale, complex datasets Amazon is an equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We make recruitingdecisions based on your experience and skills. We value your passion todiscover, invent, simplify and build. Protecting your privacy and the securityof your data is a longstanding top priority for Amazon. Please consult ourPrivacy Notice (https:www.amazon.jobsenprivacy_page) to know more abouthow we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis of race, nationalorigin, gender, gender identity, sexual orientation, protected veteran status,disability, age, or other legally protected status. For individuals withdisabilities who would like to request an accommodation, please visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.