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 Business Intelligence Engineer (BIE) 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 fearless in implementing them in suitable situations. A Business Intelligence Engineer (BIE) 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
Design and develop robust scalable and high-performance BI architectures and data models to address GREFs business intelligence requirements
Build visually engaging interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight
Collaborate closely with data engineers data scientists and business partners to define and deliver impactful BI solutions that drive value for the GREF organization
Diving deep into large data sets to answer specific business questions using Excel SQL and other data manipulation languages
Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions
Continually evaluate and recommend new BI tools and technologies to enhance GREFs analytical capabilities
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Experience with scripting language (e.g. Python Java or R)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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