Business Intelligent Engineer II, Amazon Shipping

Amazon Inc.; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Amazon Shipping in Hyderabad, India is seeking a Business Intelligence Engineer II to build datasets, dashboards, and insights that drive cost, efficiency, and profitability across the logistics network.

You will collaborate with stakeholders, develop scalable data models, and implement ETL pipelines using Redshift, SQL, Python, Tableau, and QuickSight to turn data into actionable business recommendations.

Qualifications

• Experience analyzing and interpreting data with Redshift, Oracle, NoSQL.
• Proficient in data visualization using Tableau, QuickSight.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience in statistical analysis packages such as R, SAS and Matlab.
• Experience using SQL to pull data and Python scripting for processing.

Responsibilities

• Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
• Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.
• Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.
• Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.
• Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

Skills

Data analysis

Data modeling

ETL pipelines

Statistical analysis

SQL

Python scripting

Tools

Redshift

Oracle

NoSQL

Tableau

QuickSight

Job description

Business Intelligent Engineer II, Amazon Shipping

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.

We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.

As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.

Key job responsibilities

• Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
• Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.
• Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.
• Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.
• Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.

Basic Qualifications

• 3+ 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

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.