Business Intelligence Engineer, eCS Data Engineering and Analytics

Amazon Inc.; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Amazon is seeking a Senior Business Intelligence Engineer to join the Data Engineering and Analytics team in eCommerce Services. The role focuses on building metrics, data pipelines, and analytics tools that empower decision-making across Amazon’s retail platforms.

The ideal candidate has strong problem solving, data visualization, and SQL/Python skills, with experience in Redshift, ETL, and analytics packaging to support large-scale business decisions.

Qualifications

• 5+ years of data analysis with Redshift, Oracle, NoSQL.
• Experience with data visualization using Tableau or QuickSight.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience in statistical analysis with R, SAS and Matlab.
• SQL querying and Python scripting for modeling.
• Bachelor's degree in BI, finance, engineering, statistics, CS or mathematics.

Responsibilities

• Define and maintain key business and operational metrics weekly to yearly.
• Analyze historical data to identify trends and support decisions.
• Collaborate with software teams to implement analytics and data structures.
• Identify data needs and drive data quality improvement projects.
• Lead data mining and analysis across Amazon data resources.

Skills

Redshift

Tableau

SQL

Python

Data modeling

ETL pipelines

SAS

R

Matlab

Education

Bachelor's degree in BI/finance/engineering/statistics/CS/mathematics

Tools

Oracle

NoSQL

Quicksight

Job description

Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem‑solving abilities, metrics‑driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature‑rich eCommerce platform that provides customers the best experience possible and are looking for a top‑notch Senior Business Intelligence Engineer.

In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post‑fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers.

Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers.

We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results‑oriented, self‑motivated, and customer‑focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.

Key job responsibilities

• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large‑scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

Basic Qualifications

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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

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.

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.