Business Intelligence Engineer, GREF

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., As a Senior Business Intelligence Engineer, Level 5 within the Global Real Estate & Facilities (GREF) organization at Amazon, 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.,

• Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements
• Implement efficient data pipelines, ETL processes, and data warehousing solutions to ensure the seamless flow of data from diverse sources
• Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight
• Apply advanced analytics techniques, including statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends within GREF's data
• Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization
• Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities
• Mentor and guide more junior BI team members, sharing domain expertise and best practices
  
  Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
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• 6+ years of experience as a Business Intelligence Engineer or similar senior-level role
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• Demonstrated expertise in designing and implementing complex BI architectures and data models
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• Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)
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• Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages
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• Excellent problem-solving, critical thinking, and analytical skills
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• Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
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• Experience collaborating with cross-functional teams to deliver successful BI initiatives, Extensive experience with Amazon QuickSight
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• Expertise in advanced analytics techniques, such as machine learning and predictive modeling
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• Background in the real estate or workplace industry
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• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure)
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• Proven track record of mentoring and leading more junior BI professionals
  
  Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.