Business Intelligence Engineer – Amazon – Toronto, ON
Location: Toronto, ON | Company: Amazon
Join Amazon Development Centre Canada ULC as a Business Intelligence Engineer in the vibrant city of Toronto, ON. If you’re passionate about using data to drive business decisions and have a knack for working with complex datasets, this might just be the opportunity for you.
In this role, you’ll be part of the Supply Chain Optimization Technologies (SCOT) team, where you’ll leverage your skills in data architecture and analysis to make a measurable impact. Work alongside some of the best in the industry to build scalable solutions and self-serve platforms that inform crucial business decisions.
About the Role: Business Intelligence Engineer
As a Business Intelligence Engineer, you’ll be responsible for applying mining, quantitative analysis, and statistical models to improve the customer experience. You’ll build scalable solutions that provide insights into business decision-making and optimize the performance of critical queries. Your role involves gathering data requirements, ensuring high-quality data ingestion, and creating interactive visual dashboards with tools like Tableau and QuickSight.
Collaboration and innovation are key, as you’ll work closely with engineering teams to dive into technical details and drive constructive discussions. You’ll also explore the latest AWS technologies to enhance capabilities and efficiency, all while being part of a team that values thinking big and moving fast.
Benefits and Salary
Amazon offers a comprehensive benefits package that includes Medical, Dental, and Vision Coverage, Maternity and Parental Leave Options, and Paid Time Off (PTO). Additionally, employees can benefit from the RRSP and other resources designed to support health and well-being. The base salary range for this position is 76,400.00 – 127,600.00 CAD annually.
Job Details
📌 Job Type: Full-Time
🏢 Company: Amazon Development Centre Canada ULC
📍 Location: Toronto, ON
🆔 Requisition ID: 3178385
🗓️ Date Posted: 2026-02-11
💰 Pay: 76,400.00 – 127,600.00 CAD annually
Responsibilities
In this role, your day-to-day work will involve the application of advanced data techniques to enhance customer interactions and achieve business goals. Your responsibilities will significantly impact how data-driven decisions are made, emphasizing the importance of precision and innovation.
- Apply mining and statistical models to improve customer interactions
- Build scalable and self-serve platforms for business insights
- Optimize performance of critical queries and ETL processes
- Gather and understand data requirements for high-quality ingestion
- Create interactive dashboards with Tableau and QuickSight
- Explore AWS technologies to enhance capabilities
Requirements / Skills
The ideal candidate for this role is someone who thrives in a dynamic environment and has a strong foundation in data analysis and engineering. Amazon values innovation, technical versatility, and the ability to communicate effectively with cross-functional teams.
- 3+ years of experience with data analysis using Redshift, Oracle, NoSQL
- Experience with data modeling, warehousing, and ETL pipelines
- Proficiency in data visualization tools like Tableau, Quicksight
- Expertise in writing complex SQL queries
- Knowledge of statistical analysis packages such as R, SAS, Matlab
- Scripting experience in Python for data processing
How to Apply
Interested candidates are encouraged to apply through Amazon’s official job posting. Ensure your application highlights your relevant skills and experiences.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Business Intelligence Engineer role at Amazon Development Centre Canada ULC in Toronto is perfect for candidates who excel in data analysis, ETL processes, and data visualization. On your resume, emphasize any experience with large-scale datasets, attention to detail, and your ability to work in a fast-paced environment. If you’ve previously worked in data engineering or analytics, make sure to highlight specific achievements and responsibilities that align with this position.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like data modeling, SQL queries, and Python scripting that appear in the posting. Quantify your achievements where possible (e.g., “optimized query performance by 30%” or “developed dashboards for 100+ users”). Write a brief cover letter expressing your genuine interest in Amazon Development Centre Canada ULC and why you’re excited about this opportunity in Toronto. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Amazon Development Centre Canada ULC‘s values, recent news, and company culture beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your data skills. Common questions may include scenarios about data challenges, teamwork, handling pressure. Dress appropriately for a tech industry environment, arrive 10-15 minutes early, and bring copies of your resume. Prepare thoughtful questions about the role, team dynamics, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
