Business Intel Engineer I, AOP (Level 4)
Amazon
2 - 5 years
Bengaluru
Posted: 4/15/2025
Job Description
Amazon Transportation team is looking for an innovative, hands
- on and customer
- obsessed Business Analyst for Analytics team.
Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.
Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages.
The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.
This job requires you to constantly hit the ground running and have the ability to learn quickly.
Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.
Key job responsibilities
1) Apply multi
- domain/process expertise in day to day activities and own end to end roadmap.
2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.
3) Define analytical approach; review and vet analytical approach with stakeholders.
4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs
5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full
- scale automation
6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis
7) Work with a variety of data sources and Pull data using efficient query development that
requires less post processing (e.g., Window functions, virt usage)
8) When needed, pull data from multiple similar sources to triangulate on data fidelity
9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team
10) Provide program communications to stakeholders
11) Communicate roadblocks to stakeholders and propose solutions
12) Represent team on medium
- size analytical projects in own organization and effectively communicate across teams
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
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co
- relation analysis
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.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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