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Business Intelligence Engineer, North America Transportation Services

Amazon is hiring a Business Intelligence Engineer, North America Transportation Services. It pays $100k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions Redshift, Oracle and Tableau among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build ETL pipelines, dashboards, and analytical models to improve North American transportation delivery performance.

RedshiftOracleTableauQuicksight
sqletldata-modelingdata-visualizationsupply-chain-analytics
At Amazon, we are committed to being the most customer-centric company on earth. The North American Transportation Services (NATS) team at Amazon is comprised of high-powered dynamic teams that are shaping network planning and execution through the development and application of innovative transportation and delivery management concepts.

NATS Transportation Planning team is looking for a customer-focused, detail-oriented, experienced Business Intelligence Engineer to provide recommendations on how to improve customer delivery performance, leveraging a toolkit of numerical methods and modeling. As a BIE, you will be responsible for defining and executing reports to drive operational excellence, exceed our customers’ expectations and achieve performance goals. In partnership with Program Managers, BIEs will expose gaps in our supply chain that leave us vulnerable to customer facing defects.

Additionally you will provide insights into operational issues, analyze the root cause and provide recommendations for improvements. Role will require data analysis, understanding of the systems workflow, cross-functional communication and issues management. The role is responsible for effectively communicating with senior management as well as with colleagues from operations and business backgrounds.

This role is inherently cross-functional—this leader will work closely with data scientists, software engineers, program management, design, operations, finance, legal, business development, customer service, and executive teams to create dashboards and bring products to production across the different Amazon transportation teams. A successful candidate will be highly analytical, resourceful, customer-focused, team oriented, and will have an ability to work autonomously under time constraints to meet deadlines. The leader will have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. Come join the team and help us make history!

Basic qualifications

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 5+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in advanced SQL & ability to write complex queries from scratch from multiple tables
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
- 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
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

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, TX, Irving - 99,500.00 - 160,000.00 USD annually

How we rate this

Business Intelligence Engineer, North America Transportation Services 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SQLETLData ModelingData VisualizationSupply Chain AnalyticsRedshiftOracleTableau

Questions you could be asked

  1. Tell me about a project where sql was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data modeling was part of your work. What did you do?
  4. Tell me about a project where data visualization was part of your work. What did you do?
  5. Tell me about a project where supply chain analytics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: SQL, ETL, Data Modeling, Data Visualization, and Supply Chain Analytics. 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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