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Home›Jobs›Amazon›Business Intelligence Engineer, RBS ACES
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Business Intelligence Engineer, RBS ACES

Amazon • Chennai, Tamil Nadu, IND

Posted 2d agoMid-LevelBusiness intelligence engineer📍 Chennai
Apply Now →

Skills & Technologies

PythonAWSTableauPower BIMachine learningStatistical modelsData visualizationGenerative aiLarge language modelsData analysis

Overview

Amazon is seeking a Business Intelligence Engineer to drive data-driven decision making and enhance analytics solutions. You'll work with Generative AI tools and large datasets, utilizing skills in Python, AWS, and data visualization tools like Tableau and Power BI.

Job Description

Who you are

You are a customer-obsessed Business Intelligence Engineer who thrives in a culture of data-driven decision making. You have experience leveraging Generative AI tools and Large Language Models (LLMs) to automate data analysis and generate insights. You are proficient in using at least one data visualization product such as Tableau, Qlik, or Power BI, and have a strong background in deploying Machine Learning and Statistical models. You are skilled in building new Python utilities and maintaining existing ones, enabling more efficient ad-hoc queries and analysis. You have experience working with large, multi-dimensional datasets from multiple sources and are capable of making recommendations for new metrics and strategies to improve operational and quality metrics.

What you'll do

In this role, you will be responsible for driving and creating GenAI-powered analytics solutions to enhance self-service capabilities and accelerate decision-making. You will develop prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines to integrate Generative AI with existing data infrastructure. You will experiment with foundation models, such as Amazon Bedrock and SageMaker JumpStart, to solve business intelligence challenges. You will work closely with research scientists, business analysts, and product leads to scale data and ensure consistency between various platform, operational, and analytic data sources. Your contributions will enable faster and more efficient detection and resolution of issues, ultimately leading to the best results for our customers.

What we offer

At Amazon, we offer a dynamic work environment where you can grow your skills and make a significant impact. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals across various teams. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to be Earth's most customer-centric company, where you can help shape the future of business intelligence.

Interested in this role?

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