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 Amazons growth this role may be well-suited for you.
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 GREFs 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 history!
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 organizations 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 organizations analytical capabilities
Represent the BI function in strategic business discussions and provide data-driven
recommendations to senior leadership
- Bachelors 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
- 5 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 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 initiative
- Bachelors 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
- 5 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 languages
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