Business Intelligence Engineer, IT PnD Data and Analytics

Business Intelligence Engineer, IT PnD Data and AnalyticsIT PnD Data and Analytics is seeking a Business Intelligence Engineer to join our BI team.As a Business Intelligence Engineer with our team, you will be working in a large, complex and dynamic, data‑driven environment. You will be responsible for developing automated metrics that provide relevant insight to organizational leaders, building and maintaining dashboards, and performing complex data analytics.This position requires the candidate to develop a deep understanding of the organization and key goals, earn trust with senior leadership, influence without authority, and provide relevant data insights. To succeed, you must have the ability to engage deeply with diverse and talented business partners, earn trust using facts and data, and advise and influence decisions of senior business leaders through effective verbal and written communication. This candidate must possess excellent analytical skills, project management experience, and a track record of delivering results in a complex and ambiguous environment.Key Job ResponsibilitiesPerform complex business analysis to help drive organizational decision-makingComplete root cause analysis and provide recommendations to senior leadership to address opportunitiesDevelop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a wholeDevelop and maintain Tableau dashboardsDevelop key metrics and shared goals that determine success for a particular areaTake on shared ownership of the weekly organizational metrics scorecardA Day in the LifeA day in the life of a BI engineer at IT PnD involves building large‑scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand‑up to align on priorities, followed by deep work on developing and refining data transformation, building reports and automating processes. Collaboration with data scientists, analysts, and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring, code reviews, and documenting progress, all while keeping scalability, efficiency, and Amazon’s high standards for data quality in mind.Basic Qualifications3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience writing complex SQL queriesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPreferred QualificationsExperience in the data/BI spaceExperience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.#J-18808-Ljbffr