The Global Real Estate and Facilities (GREF) Technology team at Amazon, part of Finance Automation, is seeking a passionate Business Intelligence Engineer I to join their software development and data analytics team. This role is crucial in building technology solutions that simplify Amazon's corporate real estate management and improve workplace experience.
The team's mission focuses on developing services and products supporting various GREF domains, including space planning, design and construction, employee health and safety, sustainability, facilities maintenance, and IoT-enabled building management systems. As a Business Intelligence Engineer, you'll be at the forefront of creating the next generation of real estate systems and tools.
This position offers an exciting opportunity to work on real-world problems at a global scale, where you'll own systems end-to-end and influence technology decisions that impact millions of customers worldwide. You'll be responsible for creating advanced business intelligence and analytics solutions, leveraging your technical expertise to provide actionable data insights that support strategic decision-making.
The ideal candidate should be a self-starter who's comfortable with ambiguity and excels at building highly scalable solutions. You'll have the opportunity to work with cutting-edge technologies, implement innovative solutions, and collaborate with cross-functional teams to deliver impactful BI initiatives. This role combines technical expertise with business acumen, requiring skills in data visualization, statistical analysis, and predictive modeling.
Working at Amazon means joining a company at the forefront of innovation, where you'll have the chance to make history while working alongside talented professionals in one of the world's most rapidly growing organizations. If you're passionate about data, technology, and making a significant impact on how a global organization manages its real estate and facilities, this role offers an excellent opportunity to grow your career while working on challenging and meaningful projects.