Sr. Business Intelligence Engineer, GREF

- • Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
- • 8+ years of experience as a Business Intelligence Engineer or similar senior-level role
- • Proven expertise in designing and implementing complex, large-scale BI architectures and data models
- • Extensive 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 languages
- • Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- • Strong problem-solving, critical thinking, and analytical skills
- • Experience leading cross-functional teams and driving the successful delivery of BI initiatives
- • Master's degree in a quantitative field (e.g., Data Science, Statistics, Operations Research)
- • Extensive experience with Amazon QuickSight
- • Expertise in advanced analytics techniques, such as machine learning, predictive modeling, and artificial intelligence
- • Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure)
- • Experience in real estate or workplace industry

Amazon 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.
The Global Real Estate and Facilities (GREF) organization is responsible for creating the spaces that inspire Amazonians to make history. The globally diverse team manages Amazon’s corporate offices in more than 60 countries. GREF provides real estate transactions expertise, business partnering, space and occupancy planning, design and construction, capital investment program management, facility maintenance, and operations all contributing to the employee experience and leveraging places and programs to enable culture to thrive at Amazon.

Within GREF, the Global Real Estate & Facilities Intelligence and Digital Experience (GREF IDX) team empowers GREF with the data they need to make better business decisions, manage the Amazon real estate portfolio and deliver a positive employee experience. We are on a mission to use data to inform where, when and with whom work gets done at Amazon.
As a Senior Business Intelligence Engineer, Level 6 at Amazon, you will play a pivotal role in driving the strategic vision and execution of our business intelligence and advanced analytics capabilities within the Global Real Estate & Facilities organization. In this position, you will spearhead the development of innovative BI solutions that empower cross-functional teams to make data-driven decisions and uncover transformative business insights.

Key job responsibilities
• Lead a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities
• Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight
• Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives
• Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data
• Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value
• Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities
• Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership