Sr. Business Intelligence Engineer, Forecasting and Labs Analytics

Amazon; Toronto; On-site; CAD 97,400 - 162,600; Full time

Job summary

Amazon is seeking a Sr. Business Intelligence Engineer to help optimize the demand and inbound forecasting for a global supply chain.

You will build analytics solutions across the product lifecycle and work with multiple stakeholders to drive actionable insights. You will own data modeling, statistical analysis, and reporting for large multi-TB datasets, partnering with product, science and engineering teams to define success metrics and measure outcomes.

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.
• Scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with AWS technologies.
• Knowledge of information retrieval, data science, machine learning and data mining.
• Experience with design of experiments and statistical analysis of results.

Responsibilities

• Lead projects using data modeling and statistics to create reporting and forecast insights across large datasets.
• 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 data, uncover forecasting issues and explain variance.
• Oversee the development and maintenance of recurring reporting frameworks.
• Partner with product, science, and engineering teams to define success metrics and measurement approaches.

Skills

SQL

Data modeling

Python

AWS

ETL

Data analytics

Machine learning

Tools

AWS technologies

Job description

Description

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 order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses.

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 order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW 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. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view.

Key job responsibilities

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 which highlight forecast performance and explain 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

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)
• RRSP

About The Team

We are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon businesses WW. We 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. Lastly, we develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we 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 theory and practice of 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&DD 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

Company - Amazon.com.ca, ULC

Job ID: A3192046