Business Intelligence Engineer , North America Supply Chain, Supply Chain Placement
Amazon is hiring a Business Intelligence Engineer , North America Supply Chain, Supply Chain Placement in Bellevue, United States. It pays $110k-$185k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, Tableau and Python 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
Lead business intelligence initiatives and data modeling to optimize inventory placement and supply chain efficiency.
Key job responsibilities
You will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:
Design and own the right set of metrics measuring inventory placement performance.
Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!
Pioneer new ideas to increase speed and reduce delivery cost to customers.
Pilot and implement your recommendation in production through smart configurations in Amazon systems.
Develop the analytics required to visualize opportunities and measure progresses.
Partner with worldwide technical teams to develop new features
About the team
The Supply Chain Placement team strives to fulfill customer orders with maximum speed, quality, cost-efficiency, and minimal carbon impact. We achieve this by strategically positioning inventory in optimal fulfillment centers. Partnering with North American Supply Chain Optimization Technology (SCOT), Transportation, Network Sales and Operations Planning (S&OP), and Finance teams, we integrate bottom-up and top-down data into analytical network connectivity models. Collaborating with Supply Chain Execution (SCE) and Science partners, we enhance volume allocation across the US inbound fulfillment network, ensuring efficient, sustainable, and high-quality order fulfillment to meet customer demands effectively.
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
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, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
How we rate this
Business Intelligence Engineer , North America Supply Chain, Supply Chain Placement 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. 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
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where supply chain analytics was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- What's a project where you used SQL hands-on?
- Walk me through how you've used Tableau in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Supply Chain Analytics, Data Modeling, SQL, and Tableau. 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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