Role at a glance
- Salary
- $99.5K – $160K/yr
- Location
- Irving, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Business Intelligence Engineer will support Amazon's North American Transportation Services Transportation Planning team by using data analysis and numerical modeling to improve customer delivery performance and operational execution. The role partners with transportation teams and cross-functional stakeholders to identify supply-chain gaps, develop dashboards, and deliver insights that support operational improvements.
What You'll Do
- Define and execute reports to drive operational excellence and achieve performance goals.
- Analyze operational issues, identify root causes, and provide recommendations for improvement.
- Identify supply-chain gaps that may contribute to customer-facing defects.
- Create dashboards and bring products to production across Amazon transportation teams.
- Communicate insights and issues with senior management, operations, and business stakeholders.
- Work cross-functionally with data scientists, software engineers, program management, design, finance, legal, business development,...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
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.