Business Intelligence Engineer
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Engineering · Data Analysis
In short
Amazon Business is seeking a Business Intelligence Engineer in Hyderabad, India, to build measurement, reporting, and analytics foundations for data-driven decisions and generative AI. You will partner with product and engineering teams to define KPIs, build scalable reporting solutions, and develop robust data models and visualizations to drive strategic decision-making.
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.
Requirements
- 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.
Desired 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.
#Business Intelligence#Data Engineering#Analytics#Reporting#Data Modeling#ETL#SQL#Visualization#AWS
Company
Amazon
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Hyderabad, India
Qualification
Bachelor, Master
Applicants
Be an early applicant