Sr. BIE Manager, Forecasting 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 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 Engineering Manager to lead 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 ambiguous environments, confirm and reconfirm assumptions, and harmonize disparate points of view.

Key job responsibilities Team Leadership & Development Lead and develop a team of business intelligence engineers (BIEs), set team priorities, and ensure alignment with organization priorities and goals. Facilitate team member growth and career development. Continuously improve team capabilities by establishing best practices for analytics delivery and technical knowledge. Analytics & Insights Lead projects using data modeling and statistical analysis best practices to create reporting and give insight to the forecast 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.

Keys to success in this role include exceptional analytical thinking, knowledge of statistical analysis tools, judgment, and communication skills, as well as the ability to coach and develop these capabilities within your team. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children.

Benefits

may vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) RRSP About the team We are the ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon businesses worldwide, report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We partner with stakeholder teams across supply chain, retail, and operations to assess the future forecast against existing supply conditions.

Finally, we develop intervention models to correct forecasts when defects exist or for scenarios that are not adequately addressed by core models, and help manage forecast volatility. Basic Qualifications 7+ years of business intelligence and analytics experience 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience Experience with SQL Experience with ETL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with R, Python, Weka, SAS, Matlab, or other statistical/machine learning software Preferred Qualifications 4+ years of working with very large data warehousing environment experience 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures, and hands‑on SQL coding experience 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 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 you’re applying in isn’t listed, please contact your Recruiting Partner. CAN, ON, Toronto – 110,100.00 – 183,900.00 CAD annually 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. #J-18808-Ljbffr