Business Intelligence Engineer, eCS Data Engineering and Analytics

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

Job summary

Amazon in Bengaluru seeks a Senior Business Intelligence Engineer to build scalable analytics for the eCS Data Engineering and Analytics team. You will surface key product metrics and develop data pipelines and analytics tools to drive strategic decisions.

The role emphasizes problem-solving, results orientation, and customer focus across Amazon’s eCommerce systems. Collaboration with cross-functional teams is essential.

Qualifications

• 2+ years of experience analyzing data using Redshift, Oracle or NoSQL databases.
• Experience building dashboards with Tableau, QuickSight or similar.
• Proficiency with multiple analytics tools and statistical methods.

Responsibilities

• Define, develop, and maintain critical business metrics on varying cadences.
• Analyze historical data to identify trends and present results clearly.
• Collaborate with software teams to support large-scale analytics and reporting.
• Identify data needs and drive data quality improvement projects.
• Lead data mining and analysis across Amazon data resources.

Skills

Redshift/Oracle/NoSQL

Tableau/QuickSight

Python/Java/R

Statistics methods

Education

Bachelor's degree

Data modeling

Data pipeline design

Tools

Tableau

QuickSight

Excel

PowerBI

MicroStrategy

Job description

Business Intelligence Engineer, eCS Data Engineering and Analytics

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.

About the team

The eCS Data Engineering and Analytics team are data experts that build and manage the data environment, generate insights, and develop solutions to enable data-driven decision making for eCS Organisation. The team’s key focus areas are gathering data requirements, setting up & owning business metrics, data integration, building dashboards & scorecards, and generating actionable insights for eCS stakeholders.

Basic Qualifications

• - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience


• - Experience with data visualization using Tableau, Quicksight, or similar tools


• - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)


• - Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• - Bachelor's degree


• - Knowledge of data modeling and data pipeline design


• - Experience with statistical analysis, co-relation analysis

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.