Business Intelligence Engineer, ShipTech

Amazon Inc.; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amazon seeks a Business Intelligence Engineer for ShipTech to transform large-scale logistics data into actionable insights. You will partner with BIEs, DEs, and SDEs to build scalable BI solutions, dashboards, and reports, enabling data-driven decision making across global operations.

The role emphasizes an AI-first approach, fast delivery, and cross-functional collaboration to improve transportation visibility and operational efficiency.

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.

Responsibilities

• Work closely with the BIEs, DEs and SDEs in the team and collaborate effectively with product managers to create scalable solutions for business problems.
• Use AI-first approach in solving problems to achieve speed and throughput
• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives
• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills.
• Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing.
• Contribute to transportation operations strategy development based on data analysis
• Lead strategic projects to formalize and scale organizational processes
• Build and manage weekly, monthly and quarterly business review metrics.
• Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.

Skills

Data analysis

SQL

Python

Statistical analysis

Data visualization

ETL pipelines

Data modeling

R/SAS/Matlab

Tools

Tableau

Quicksight

EC2

DynamoDB

S3

Redshift

Job description

Business Intelligence Engineer, ShipTech

Shiptech Visibility team is responsible to deliver end-to-end supply chain visibility by blending telemetry data from multiple sources-IoT sensors, GPS trackers, EDI feeds, and carrier APIs with varying accuracy into high-confidence contextual milestones. We eliminate visibility gaps across the logistics network and enable businesses to operate with real-time exception management and shipment predictability. We provide high-fidelity tracking signals with geofencing capabilities, accurate EDD predictions, and contextual shipment milestone updates. We secure today's small parcel operations while building tomorrow's inter-modal connectivity infrastructure.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.

Key job responsibilities

• Work closely with the BIEs, DEs and SDEs in the team and collaborate effectively with product managers to create scalable solutions for business problems.
• Use AI-first approach in solving problems to achieve speed and throughput
• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives
• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills.
• Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing.
• Contribute to transportation operations strategy development based on data analysis
• Lead strategic projects to formalize and scale organizational processes
• Build and manage weekly, monthly and quarterly business review metrics.
• Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.

About the team

Shiptech Visibility team is responsible to deliver end-to-end supply chain visibility by blending telemetry data from multiple sources-IoT sensors, GPS trackers, EDI feeds, and carrier APIs with varying accuracy into high-confidence contextual milestones. We eliminate visibility gaps across the logistics network and enable businesses to operate with real-time exception management and shipment predictability. We provide high-fidelity tracking signals with geofencing capabilities, accurate EDD predictions, and contextual shipment milestone updates. We secure today's small parcel operations while building tomorrow's inter-modal connectivity infrastructure.

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.