Business Intel Engineer, GO-AI

Amazon Inc.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amazon Robotics GO-AI is hiring a Business Intelligence Engineer to design and automate ETL pipelines, build dashboards, and generate insights from massive data sources across the global fulfillment network. You will partner with science, software, and data teams to deliver metrics that inform leadership decisions.

You will work on advanced analytics, statistical modeling, and data visualization, leveraging AWS data services and modern BI tools to support AI-driven robotic solutions at scale.

Qualifications

• 3+ years of analyzing and interpreting data with modern data platforms.
• 1+ years of SQL, ETL or Oracle experience.
• 1+ years of processing large, multi-source datasets.
• 1+ years of statistical analysis experience.
• 1+ years of automated reporting experience.
• Experience with data visualization tools (Tableau, QuickSight).
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with statistical packages (R, SAS, Matlab).
• Proficiency in SQL and Python scripting for modeling.

Responsibilities

• Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
• Design and automate ETL pipelines for business metrics.
• Design insightful dashboards and reports for senior leadership.
• Research methodologies for analytical problems and document findings.
• Collaborate with stakeholders to understand business domains and requirements.
• Work with data source owners to understand capabilities and limitations.
• Manage timelines and deliverables, anticipates risks and resolves issues.
• Adopt best practices in reporting, data integrity, testing, validation, and documentation.
• Apply Generative AI concepts where applicable to business problems.

Skills

Analytical thinking

Communication

Cross-functional collaboration

Problem solving

Tools

SQL

ETL

Python

Tableau/Quicksight

Redshift / Data warehouse

R / SAS / Matlab

AWS (Redshift / S3)

Job description

Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

Key job responsibilities

• Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
• Design and automate ETL pipelines for business metrics.
• Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds.
• Research the most appropriate methodologies for a given analytical problem.
• Contribute to key business documents.
• Collaborate with stakeholders to understand business domains, requirements, and expectations.
• Work with owners of data source systems to gain insights into capabilities and limitations.
• Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting: data integrity, test design, validation, and documentation.
• Have knowledge of Generative AI solutions in this space to know when to apply what to solve business problems.
• Excellence verbal and written communication skills.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.