Business Intelligence Engineer II, SCOT Long Term Planning and Forecasting

Where will Amazons growth come from next year In five years Which product lines are staged to quintuple in size and which ones are mature Are we investing enough in our infrastructure or too much How will our customers react to changes in prices or selection or delivery speed The SCOT Long-Term Planning and Forecasting (LTPF) team works to answer these key questions.

The Supply Chain Optimization Technology (SCOT) team owns Amazons global inventory planning systems: SCOT decides what when where and how much inventory to buy in order to meet customer needs as well as Amazons business goals. We do this for millions of items for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house and represent the forefront of automated large scale supply chain planning and optimization systems.. SCOT LTPF is responsible for long-term forecasting and planning across Topline Inventory and Capacity helping Amazon plan key metrics including ordered units and GMS inventory units and cost and FC building capacity and topology (size and location).

SCOT LTPF is looking for a Business Intelligence Engineer to support the team. LTPF BI Engineers build and maintain analytical tools supporting Topline Inventory and Capacity planning and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. The ideal candidate will have experience in leading analytics projects including but not limited to: forecasting business monitoring business intelligence and data visualization. The candidate should also have experience mapping analytical solutions to business problems in the most ambiguous environments with a track record of making data easy to consume for end users. This position will require extensive stakeholder and project management.

Key job responsibilities
- Develop and maintain analytical dashboards reports and data pipelines using Amazon QuickSight SQL and AWS services to track forecast performance across Topline Inventory and Capacity planning following established architectural patterns and team standards to ensure solutions are reliable and well-documented
- Collaborate with scientists engineers and product managers to gather requirements and deliver data solutions that surface root-cause insights escalating trade-offs and prioritization decisions to senior team members when needed
- Build and maintain data models ETL processes and automated reporting mechanisms that enable data-driven decision making optimizing for performance and reliability within the teams existing frameworks
- Leverage generative AI tools and techniques to accelerate insight generation and automate reporting workflows contributing ideas for new AI-driven improvements to the teams analytical processes
- Conduct deep-dive analyses to identify trends patterns and opportunities for improvement delivering clear findings on well-scoped business questions and contributing to analyses on more complex or ambiguous problems with guidance from senior team members
- Proactively identify data quality issues dependencies and bottlenecks troubleshooting and resolving issues within scope and escalating broader systemic problems with clear documentation
- Own and deliver medium-complexity projects from start to finish developing project plans tracking milestones and communicating findings clearly to team leads and stakeholders
- Adopt and champion team best practices in data modeling metric definitions and code quality proactively identifying opportunities to improve processes and tools within your area of ownership
- Support onboarding of new team members and contribute to knowledge-sharing initiatives; participate in hiring loops and technical assessments as a bar raiser candidate (with development support)

A day in the life
LTPF BI Engineers focus on how our customers use our forecasts and plans and ensuring its as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers making sure changes across Topline Inventory and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance inventory positioning and capacity planning and work with science and engineering teams to resolve forecast and planning questions.

Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.

The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!

At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
Long-Term Planning & Forecasting (LTPF) enables coordinated long-term planning and drives critical decisions that maximize Amazons ability to serve customers worldwide. The organization develops forecasting optimization and analytics products and services to plan Amazons Topline Inventory as well as Capacity and Topology driving strategic decisions and Amazon policies to improve key business metrics.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting 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

- 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 for more information. If the country/region youre applying in isnt 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 NY New York - 109500.00 - 185000.00 USD annually
USA WA Bellevue - 99500.00 - 160000.00 USD annually