Amazon Development Centre Canada ULC

Business Intelligence, Business Intel Engineer, operations

BusinessIntelligenceEngineer

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

“Business Intelligence Engineer at Amazon Development Centre Canada ULC. Skills: Business Intelligence, Data Warehousing, ETL, Data Visualization. Apply mining, quantitative analysis, and statistical models. Build scalable solutions and self-serve platforms”

What You'll Achieve.

Gather insights from across Amazon; Improve customer experience; Meet business goals; Inform business decision making; Provide new capabilities; Increase efficiency

Industry & Context.

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

Root cause analysis; Troubleshooting ETL jobs

What They're Looking For.

Must Have

3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with Tableau, Experience with Quicksight, Experience writing complex SQL queries, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL to pull data, Experience with Python scripting

Nice to Have

Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience in ETL, Experience using databases in a business environment

What You'll Do.

quantitative analysis

and statistical models

Build scalable solutions and self-serve platforms

Optimize performance of business-critical queries

Deal with ETL job-related issues

Gather and understand data requirements

Achieve high quality data ingestion

Build systems to process

Dive deeply into technical details

Drive constructive technical discussions

Extract and combine data from various sources

Build and evaluate end-to-end designs

Create interactive visual dashboards

Write clear documentation

Create architecture documents

Create an engineering roadmap

Explore and learn AWS technologies

Provide new capabilities

Innovate using big data techniques

How You'll Work.

Team & Collaboration

Work with business analysts; Work with data engineers; Work with engineering teams

Communication Scope

Business communication; Technical discussions; Documentation; Architecture documents

Process & Methodology

Roadmap planning

Full Job Description

The Supply Chain Optimization Technologies (SCOT) organization, has an immediate need for a creative business intelligence engineer (BIE) with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile. You will have the opportunity to work with one of the largest and most complex warehouses in the world to gather insights using from across Amazon. As a BIE, you should be an expert in the architecture of data warehouse solutions for the enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. Excellent business and communication skills are required to work with business analysts and data engineers to understand how best to design reporting and analytics data systems. Key job responsibilities Apply mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify ways to improve the customer experience and meet our goals • Build scalable solutions and self-serve platforms that will provide insights to inform business decision making • Optimizing the performance of business-critical queries and dealing with ETL job-related issues • Gathering and understanding data requirements, working with the team to achieve high quality data ingestion and building systems that can process, transform, and store the data in various relational and non-relational stores • Dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Extracting and combining data from various heterogeneous data sources • Build and evaluate end-to-end designs for strengths and weaknesses (quality, scalability, latency, security, performance, data integrity, etc.) • Create interactive visual dashboards with Tableau and QuickSight • Write clear documentation, architecture documents and create an engineering road

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