Business Intelligence Engineer, ShipTech

Amazon is hiring a Business Intelligence Engineer, ShipTech in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include SQL, Excel and Business Intelligence Tools.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past two weeks.

AI in this role

Deliver end-to-end supply chain visibility and insights using an AI-first approach to business intelligence and data problem-solving.

sqlexcelbusiness-intelligence-tools

data-analysissupply-chain-visibilitybusiness-intelligenceautomation

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 intermodal 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.

How we rate this

Business Intelligence Engineer, ShipTech at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Business Intelligence Engineer, ShipTech is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN, TS, Hyderabad.
The job was posted on October 12, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisSupply Chain VisibilityBusiness IntelligenceAutomationSQLExcelBusiness Intelligence Tools

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where supply chain visibility was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Analysis, Supply Chain Visibility, Business Intelligence, Automation, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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