Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting

Amazon; Bellevue (WA); On-site; USD 130,000 - 176,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon’s Long-Term Planning & Forecasting (LTPF) team seeks a Business Intelligence Engineer to support Topline, Inventory, and Capacity planning with analytics, reporting, and data visualization. The role emphasizes stakeholder engagement, project leadership, and data-driven decision making.

The candidate will build analytical tools, manage multi‑TB datasets, and collaborate across teams to drive improvements in forecast accuracy and inventory optimization. EA benefits apply.

Qualifications

• 5+ years of SQL experience.
• 5+ years of processing large, multi-dimensional datasets from multiple sources.
• 5+ years of developing automated reporting experience.
• 5+ years of performing statistical analysis experience.
• Experience programming to extract, transform and clean large (multi- TB) data sets.
• Experience with theory and practice of design of experiments and statistical analysis of results.
• Experience with AWS technologies.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining.

Responsibilities

• Develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning.
• Engage with internal stakeholders and external consumers of LTPF forecasts to ensure timely data in the right context.
• Lead analytics projects including forecasting, business monitoring, and data visualization.
• Collaborate with science and engineering teams to resolve forecast and planning questions.

Skills

SQL

Data processing

Automated reporting

Statistical analysis

Python scripting

AWS

Machine learning basics

Data mining

Job description

Description

Where will Amazon's 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.

Description

Where will Amazon's 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 Amazon's global inventory planning systems: SCOT decides what, when, where, and how much inventory to buy in order to meet customer needs as well as Amazon's 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.

A day in the life

LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's 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. 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

At Amazon, we value people with unique backgrounds, experiences, and skillsets.

About The Team

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

Basic Qualifications

• 5+ years of SQL experience
• 5+ years of processing large, multi‑dimensional datasets from multiple sources experience
• 5+ years of developing automated reporting experience
• 5+ years of performing statistical analysis experience
• Experience programming to extract, transform and clean large (multi‑TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

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, WA, Bellevue - 130,400.00 - 176,300.00 USD annually

Company

Amazon.com Services LLC