Business Intelligence Engineer II, SCOT - Fulfillment Optimization (FO)

Amazon; Vancouver; On-site; CAD 76,000 - 128,000; Full time

Job summary

Amazon in Vancouver is seeking a highly analytical Business Intelligence Engineer to develop analytic and reporting capabilities across the Promise and fulfillment signal products. You will collaborate with economists, data engineers, product managers and software developers to surface signals from our fulfillment network and influence inventory, carrier, and delivery decisions.

This role offers an opportunity to impact customer experience in a fast-paced, globally integrated retail tech

Qualifications

• 3+ years of data analysis experience with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization tools such as Tableau or QuickSight.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with statistical analysis packages such as R, SAS and Matlab.
• Proficient in SQL and Python for data processing and modeling.

Responsibilities

• Develop analytic and reporting capabilities to surface signals from the fulfillment network to improve customer experience.
• Create dashboards and metrics across Promise platforms and fulfillment signal products.
• Collaborate with economists, data engineers, product managers and software developers to guide decisions for Amazon's retail and operations teams.
• Impact Amazon's business and customer promise through data-driven insights.

Skills

Data analysis

Data visualization

Data warehousing/ETL

Statistical analysis

SQL & Python

Tools

AWS (EC2, DynamoDB, S3, Redshift)

ETL tools / data mining

Job description

Description

When shopping on Amazon, customers care about price (low!), selection (more!) and delivery (they want it fast! they want it free!). However, they also want to manage their environmental footprint, and they want packages to arrive in fewer boxes, with more - and the Promise team sets the expectation for when their items arrive.

The delivery promises we make are key to acquiring and retaining customers and influence the short and long term profitability of Amazon’s global retail business. We serve as the interface between customer expectations and Amazon's industry leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) group that develops and manages systems that optimize inventory acquisition and placement so products are available for fast delivery. Our systems also optimize transportation and fulfillment plans to enable delivery options for our customers.

The Promise team is looking for an exceptional Business Intelligence Engineer with broad technical skills to develop analytic and reporting capabilities that to improve the customer experience by developing analytics that surface signals from our fulfillment network to display more relevant offers to customers (e.g., by ranking faster shipping products higher in Search results), create new customer experiences (e.g., by messaging items that ship with items in your cart), and nudge customers towards lower cost / lower carbon fulfillment (e.g., by increasing prominence of locally available offers in recommendations).

Key job responsibilities

• The ideal candidate is a highly analytical and critical thinker with advanced problem-solving, data mining, and scripting (Python or Scala) skills.

• They enjoy collaborating with top economists, research scientists, data engineers, product managers and software developers to make decisions for Amazon's retail and operations teams.

• The candidate will be responsible for metrics, dashboards, and measurement across Promise platforms and fulfillment signal products to help improve evaluate inventory, fulfillment capabilities, and carrier capabilities.

• Your work will have a direct impact on Amazon's business and customer promise.

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.

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. If you’re passionate about this role and want to make an impact on a global scale.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

Preferred Qualifications

• 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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, BC, Vancouver - 76,400.00 - 127,600.00 CAD annually