Amazon Corporate LLC Business Intelligence Engineer in Seattle, Washington
We are new to Amazon Operations and are building up the team. The Business Intelligence Engineer is responsible for driving deep insights about the WW Operations Business and driving continuous improvement using the analysis.To be successful in this role, you will need to be a proven engineer, diligent task manager, communicator, and problem solver. You will work on large, complex initiatives, deal with ambiguity and advocate on behalf of the customers. Great candidates have the ability to use data, analytics, and engineering to drive changes themselves by acting on the outcomes.Responsibilities may include:-Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.-Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Kylin/Big data, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers.-Partner with data engineering and SDEs to build best-in-class data architecture and pipelines to support analytics needs.-Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.-Partner with scientists to translate business insights and trends into experimentation and testing, and modeling.-Mentor and develop other analytics team members.* 3+ years of experience as an engineer in the data/BI space* Experience working directly with business stakeholders to translate between data and business needs* Experience with data visualization using Tableau, Quicksight, or similar tools* Experience with SQL* Experience with ETL tools, creating data pipelines* Experience in Relational and Dimensional Datamodelling* Bachelor's Degree in Statistics, Applied Mathematics, Econometrics, Computer Science, Operations Research, Engineering, closely related field or equivalent experience.* Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with business leaders and technical teamsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.