Business Intelligence Engineer

Amazon

Hyderabad

On-site

INR 1,400,000 - 2,000,000

Full time

32 hours ago
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Job summary

Amazon Dev Center India - Hyderabad is seeking a Business Intelligence Engineer to architect and scale reporting, dashboards, and analytics foundations powering data-driven decisions. You will partner with scientists, product managers, software engineers, and business stakeholders to define KPIs and build trusted data sources.

The role emphasizes robust data pipelines, scalable models, and self-service analytics across multiple domains, including AI-powered insights and operational optimization.

Qualifications

  • Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience.
  • 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.

Responsibilities

  • Designing, implementing, and maintaining scalable reporting solutions, dashboards, and analytics frameworks that provide visibility into key business and product performance metrics.
  • Partnering with Scientists, Product Managers, Software Engineers, and business stakeholders to define KPIs, establish measurement methodologies, and develop trusted source-of-truth datasets for decision-making.
  • Building and maintaining robust reporting pipelines, automated data validation processes, and monitoring mechanisms to ensure accuracy, consistency, and timeliness of business insights.
  • Developing scalable data models, semantic layers, and self-service analytics solutions that enable stakeholders to explore data independently and integrate insights across multiple business domains — including datasets that support AI-powered analytics and agent experiences.
  • Driving deep-dive analyses, root-cause investigations, and opportunity sizing exercises to uncover actionable insights and influence strategic business decisions.
  • Designing executive-facing visualizations, business reviews, and performance reporting mechanisms that communicate complex findings through clear data storytelling.
  • Establishing best practices for metric governance, experimentation measurement, attribution, and analytics engineering to improve trust and consistency across reporting ecosystems.

Skills

SQL
ETL
Data visualization
Data modeling
Redshift
Oracle
NoSQL
Python
Excel
Communication

Education

Bachelor's degree
Master's degree

Tools

Tableau Desktop
Quicksight
VBA
AWS (EC2, S3, DynamoDB)

Job description

Description

Come be a part of a rapidly expanding $50 billion-dollar global business on its trajectory to $100B. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech, retail, and generative AI in the B2B space — developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

Come be a part of a rapidly expanding $50 billion-dollar global business on its trajectory to $100B. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech, retail, and generative AI in the B2B space — developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. The Amazon Business Flywheel Inputs (ABFI) Analytics team is looking for a Business Intelligence Engineer to build the measurement, reporting, and analytics foundations that power data-driven decisions and emerging generative AI experiences. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the measurement and analytics strategy for key AB problems including price optimization, selection expansion, operational excellence, and AI-powered customer experiences. Amazon Business is one of Amazon's fastest-growing business sectors. We need builders who can think big, dive deep, and translate complex data into actionable business insights. Come work with us if you are customer-obsessed, analytical, and excited about making history.

Key job responsibilities
  • Designing, implementing, and maintaining scalable reporting solutions, dashboards, and analytics frameworks that provide visibility into key business and product performance metrics.
  • Partnering with Scientists, Product Managers, Software Engineers, and business stakeholders to define KPIs, establish measurement methodologies, and develop trusted source-of-truth datasets for decision-making.
  • Building and maintaining robust reporting pipelines, automated data validation processes, and monitoring mechanisms to ensure accuracy, consistency, and timeliness of business insights.
  • Developing scalable data models, semantic layers, and self-service analytics solutions that enable stakeholders to explore data independently and integrate insights across multiple business domains — including datasets that support AI-powered analytics and agent experiences.
  • Driving deep-dive analyses, root-cause investigations, and opportunity sizing exercises to uncover actionable insights and influence strategic business decisions.
  • Designing executive-facing visualizations, business reviews, and performance reporting mechanisms that communicate complex findings through clear data storytelling.
  • Establishing best practices for metric governance, experimentation measurement, attribution, and analytics engineering to improve trust and consistency across reporting ecosystems.
About The Team

Today, AB serves millions of business customers worldwide — from Fortune 500 enterprises and hospital systems to local governments and small businesses — and is on a trajectory to become a $100B business.

The Amazon Business Flywheel Inputs (ABFI) Data & Analytics team is the engine behind the data-driven decisions that power AB's growth flywheel. We own the metrics, insights, and data platforms that drive three of AB's most critical levers: Pricing Competitiveness, Selection Expansion, and Availability Optimization — across multiple marketplaces worldwide.

Basic Qualifications
  • Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
  • 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
Preferred Qualifications
  • Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

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

Amazon Dev Center India - Hyderabad

Job ID: A10503895

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