Business Intel Engineer, GO-AI

Amazon; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Amazon Robotics is seeking a Business Intelligence Engineer for its GO-AI Technology & Development Team in Hyderabad. You will manage massive-scale datasets, design ETL pipelines, and develop foundation models guiding AI-driven robotic solutions.

You will collaborate with science, software, data, and operations teams to deploy data-driven insights that impact Amazon’s global fulfillment operations. You will work on generative AI opportunities, data visualization, and reporting, with a strong

Qualifications

• 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 1+ years of SQL, ETL or Oracle experience.
• 1+ years processing large, multi-dimensional datasets from multiple sources.
• 1+ years performing statistical analysis.
• 1+ years developing automated reporting.
• 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 and scripting in Python for modeling.

Responsibilities

• Design and automate ETL pipelines for business metrics.
• Design insightful dashboards and reports for senior leadership.
• Research appropriate methodologies for analytical problems.
• Collaborate with stakeholders to understand business domains and requirements.
• Manage project timelines, deliverables, risks and issues.
• Adopt best practices in reporting, data integrity, testing, validation and documentation.

Skills

Analytical thinking

Statistical analysis

Python scripting

Data visualization

Cross-functional collaboration

Tools

Tableau

Quicksight

Python

Redshift

Job description

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.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

- ADCI HYD 16 SEZ

Job ID: A10556820