The 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. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.
We are seeking a passionate Business Intelligence Engineer II 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 Business Intelligence Engineer II 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 history!
Key job responsibilities
• Collaborate across 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- Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
- 3+ years of experience as a Business Intelligence Engineer or similar senior-level role
- Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models
- Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)
- Strong 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
- Excellent problem-solving, critical thinking, and analytical skills
- Experience leading cross-functional teams and driving the successful delivery of BI initiative- Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
- 3+ years of experience as a Business Intelligence Engineer or similar senior-level role
- Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models
- Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)
- Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
