Manager, Business Intelligence Engineer, III, Amazon FinAuto

Manager, Business Intelligence Engineer, III, Amazon FinAuto - GREF TechThe Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise.We are seeking a passionate Manager Business Intelligence Engineer, III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making.The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Manager Business Intelligence Engineer, III at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making historyKey job responsibilitiesLead a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilitiesBuild visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSightLead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectivesUse advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in dataCollaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business valueLead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilitiesRepresent the BI function in strategic business discussions and provide data-driven recommendations to senior leadershipBasic QualificationsBachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field8+ years of experience as a Business Intelligence Engineer or similar senior-level roleProven expertise in designing and implementing complex, large-scale BI architectures and data models5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languagesAbility to effectively communicate technical concepts to both technical and non-technical stakeholdersStrong problem-solving, critical thinking, and analytical skillsExperience leading cross-functional teams and driving the successful delivery of BI initiativePreferred QualificationsBachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field8+ years of experience as a Business Intelligence Engineer or similar senior-level roleProven expertise in designing and implementing complex, large-scale BI architectures and data models5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languagesOur 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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-18808-Ljbffr