Role at a glance
- Job function
-
AI & Data Data Analytics Data Engineering
- Salary
- $109.5K – $185K/yr
- Location
- Bellevue, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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Role Summary
The Senior Business Intelligence Engineer will support the Supply Chain Placement team by building inventory placement metrics and analytics to help position products in fulfillment centers, increase delivery speed, reduce costs, and expand selection. The role partners with planning, fulfillment, supply chain, finance, science, and worldwide technical teams to improve inventory placement across the US inbound fulfillment network.
What You'll Do
- Design and own metrics measuring inventory placement performance.
- Recommend placement strategy improvements using modelling and large datasets.
- Pilot and implement recommendations in production through configurations in Amazon systems.
- Develop analytics to visualize opportunities and measure progress.
- Partner with worldwide technical teams to develop new features.
- Pioneer ideas to increase delivery speed and reduce delivery cost to customers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.