Sr. Business Intelligence Engineer, Forecasting and Labs Analytics
Amazon
Job Description
Sr. Business Intelligence Engineer, Forecasting and Labs Analytics Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers.
A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically ordering hundreds of millions worth of inventory, deciding where to place that inventory, and establishing labor plans for worldwide warehouses. We are looking for a Sr.
Business Intelligence Engineer to join a team developing new tools and metrics to oversee the delivery of analytics solutions across the product development lifecycle, from entitlement through implementation and ongoing business operations. A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long‑term thinking with short‑term actions, navigate an ambiguous environment, confirm and reconfirm assumptions, and harmonize disparate points of view.
Key Job Responsibilities Analytics & Insights Lead projects using data modeling and statistical analysis best practices to create reporting and provide insight into forecasts against large, multi‑dimensional datasets from multiple sources. Direct the design and implementation of analytics solutions for new product initiatives. Ensure quality and consistency of analytical outputs across team deliverables.
Build tools to analyze large amounts of data that uncover forecasting issues and convey insights highlighting forecast performance and explaining variance. Oversee the development and maintenance of recurring reporting frameworks. Product Development Support Partner with product, science, and engineering teams throughout the development lifecycle to define success metrics and measurement approaches.
Guide analytics strategy during project entitlement phases. Business Partnership Translate complex analytical findings into actionable business recommendations. Build and maintain relationships with cross‑functional stakeholders.
A day in the life – Benefits Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) Registered Retirement Savings Plan (RRSP) About the Team We are the ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon businesses worldwide. We report on historical forecast performance, changes to future forecasts, and the health of future forecasts.
We partner with stakeholder teams across supply chain, retail, and operations to assess future forecasts against existing supply conditions. We develop intervention models to correct forecasts when defects exist or for scenarios not adequately addressed by core models. In addition to forecast accuracy, we also help manage forecast volatility.
Basic Qualifications 5+ years of SQL experience. 5+ years of professional or military experience. Experience programming to extract, transform, and clean large (multi‑TB) data sets. Experience in scripting for automation (e.g., Python) and advanced SQL skills.
Experience with AWS technologies. Experience with theory and practice of information retrieval, data science, machine learning, and data mining. Experience with software design of experiments and statistical analysis of results.
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. As a total compensation company, Amazon’s package may include other elements such as sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well‑being. We thank all applicants for their interest; however, only those interviewed will be advised as to hiring status. CAN, ON, Toronto – 97,400.00 – 162,600.00 CAD annually Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr