Sr Business Intelligence Engineer, Intellectual Property Protection

Amazon Development Centre Canada ULC; Vancouver; On-site; CAD 97,000 - 163,000; Full time

Job summary

A leading technology company is seeking a Sr. Business Intelligence Engineer in Metro Vancouver to transform large data sets into actionable insights. The ideal candidate is experienced in SQL, data modeling, and Python. This role offers competitive compensation and a comprehensive total rewards package. Join the team and drive data-driven decisions at a dynamic organization.

Benefits

Competitive salary

Equity awards

Full range of medical benefits

Sign-on payments

Qualifications

• 10+ years of professional experience required.
• 5+ years of SQL and large data set transformation expertise.
• Familiarity with data modeling and design of experiments.

Responsibilities

• Create and manage extremely large data sets.
• Implement new analytic technologies.
• Communicate strategic findings to senior leaders.

Skills

Data modeling

SQL

Python scripting

Statistical analysis

Business communication

Tools

AWS technologies

Job description

Are you passionate about building business insights that drive decision making at the highest levels? Join our Intellectual Property Protection (IPP) charter, where from Day 1 you’ll tackle complex data and metric challenges, crafting datasets, reports, and dashboards to power critical business decisions.

As a Sr. Business Intelligence Engineer, you’ll work in a fast-paced, ambiguous environment to transform large (multTb) data sets into actionable insights. You’ll own end-to-end solutions—from metadata modeling and pipeline monitoring to query performance tuning—ensuring Amazon stakeholders worldwide have reliable, data-driven recommendations.

About the role: Sr Business Intelligence Engineer

In this role, you’ll be highly data-driven, resourceful, and customer-obsessed. You will translate analytic insights into concrete recommendations, develop dashboards that track business health, and design scalable data solutions in collaboration with product, engineering, and data science teams.

Your responsibilities include creating and managing extremely large data sets, implementing new analytic technologies, and clearly communicating strategic findings to senior leaders. You will leverage AWS technologies, advanced SQL, Python scripting, and statistical analysis to uncover trends, predict risks, and optimize future state operations.

Benefits and Salary

Competitive Compensation: The base salary ranges from $97,400/year to $162,600/year, reflecting your expertise in business intelligence, data analytics, and AWS technologies.

Total Rewards Package: In addition to salary, you may be eligible for equity awards, sign-on payments, and a full range of medical, financial, and other benefits as part of Amazon’s comprehensive total compensation philosophy.

Job Type: Full Time

Pay Range: $97,400 – $162,600 (based on experience, skills, and knowledge)

Requirements / Skills

We’re looking for someone with 10+ years of professional experience, including 5+ years of SQL and large data set transformation expertise. You must be skilled in data modeling, design of experiments, statistical analysis, and familiar with AWS technologies, Python scripting, and advanced SQL tuning.

Strong business communication skills are essential: you’ll partner with product owners to translate key business questions into dashboards and reports, and present insights to senior leadership. Prior experience in machine learning, data mining, and information retrieval is a plus.

How to Apply

Ready to drive data-driven decisions at Amazon’s IPP team? Click the button below to apply and start delivering high-impact business intelligence solutions.

Know someone who might be interested? Share this job posting and help them join Amazon’s IPP team!

Highlight Your Data Expertise: Showcase your experience transforming multi-TB data sets, designing experiments, and tuning complex SQL queries.

Demonstrate Business Impact: Provide examples of dashboards or analytic solutions you built that drove actionable recommendations and operational efficiencies.

Emphasize Communication Skills: Illustrate how you’ve translated technical findings into business terms for senior leaders and cross-functional teams.

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