Amazon Development Centre Canada ULC

Business Intelligence, Business Intel Engineer, operations

BIE(II),FulfillmentOptimization

CA$76–128k Vancouver, British Columbia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“BIE (II), Fulfillment Optimization at Amazon Development Centre Canada ULC. Skills: Business Intelligence, Data Engineering, Analytics. Develop analytic capabilities. Develop reporting capabilities”

Industry & Context.

Business Intelligence, Business Intel Engineer, operations
Problems you'll solve

Advanced problem-solving

What They're Looking For.

Must Have

3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python

Nice to Have

Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets

What You'll Do.

Develop analytic capabilities

Develop reporting capabilities

Surface signals from fulfillment network

Display relevant offers to customers

Create new customer experiences

Nudge customers towards lower cost fulfillment

Nudge customers towards lower carbon fulfillment

Develop analytics that surface signals

Develop analytics that display offers

Develop analytics that create experiences

Develop analytics that nudge customers

Improve evaluate inventory

Improve fulfillment capabilities

Improve carrier capabilities

How You'll Work.

Team & Collaboration

Collaborating with economists; Collaborating with research scientists; Collaborating with data engineers; Collaborating with product managers; Collaborating with software developers

Full Job 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

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