Business Intel Engineer I, Customer Delivery Excellence, Transportation Execution
AI in this role
Build robust big data applications and ETL pipelines to support Amazon transportation and business operations.
Key job responsibilities
Key job responsibilities
As a Business Intelligence Engineer on the CDE team, you will be responsible for:
Building robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Build and deliver high quality data architecture to support business intelligence engineer and program managers’ reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Drive both business and technology solutions to improve Amazon Inbound visibility.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Translate data into actionable insights for the 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
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 82,300.00 - 144,000.00 USD annually
How we rate this
Business Intel Engineer I, Customer Delivery Excellence, Transportation Execution at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where data integration was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ETL, Data Architecture, Data Integration, Big Data, and Statistical Analysis. 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.
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