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Business Intelligence Engineer I, Amazon FinAuto - GREF Tech

1 Jul 2025
Hyderabad, Telangana, India
Verified by Turrior

Content + Source + Freshness • 14 Dec 2025 • 95% confidence

77 / 100

Offer value

The role offers a strong opportunity for skill development in business intelligence within a leading tech company like Amazon, although no salary range is specified.

  • Engage with cutting-edge BI technologies and processes
  • Influence real estate management strategies at Amazon
  • Ideal for self-motivated data analysts eager for growth
Pros
  • Opportunities to work with advanced technologies and large datasets
  • Engagement with cross-functional teams to influence strategic decisions
  • Role within a globally recognized company
Cons
  • Lack of specified salary information
  • Potential high-pressure environment typical of tech giants
  • Ambiguity in some responsibilities may be challenging

Who it's for

Entry to Mid-Level • On-site

Good fit
  • Entry-level to mid-level BI engineers
  • Data-driven analysts passionate about technology
  • Team players comfortable in a dynamic workplace
Not recommended for
  • Individuals desiring strict role definitions
  • Candidates lacking experience in data analysis or BI tools
  • Those seeking entirely remote roles

Motivation fit

Interest in real estate technology solutionsDesire to leverage data for impactful decision-makingEagerness to engage with cutting-edge BI tools

Key skills

Data visualizationSQL and data manipulationCollaboration with technical teamsProblem-solving and analytical thinking
Score: 77/100 AI verified analysis

About the job

DESCRIPTION

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 I 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 I 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 GREF's 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 GREF's analytical capabilities

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