📌 Core Information
🔹 Job Title: Senior Business Intelligence Engineer, Content Demand
🔹 Company: Amazon
🔹 Location: Toronto, Ontario, Canada
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: May 16, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Designing, developing, and maintaining datasets, metrics, analyses, and dashboards to drive business decisions.
- Developing queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
- Improving ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Using analytical and statistical rigor to identify performance gaps and opportunities for optimization.
- Providing input and recommendations on technical issues to data engineering and software engineering teams.
ASSUMPTION: This role requires a strong analytical mindset, technical proficiency, and the ability to work independently and collaboratively to deliver insights that drive business impact.
📋 Key Responsibilities
✅ Own the design, development, and maintenance of datasets, ongoing metrics, analyses, and dashboards to drive key business decisions.
✅ Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
✅ Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
✅ Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.
✅ Provide input and recommendations on technical issues to data engineering and software engineering teams.
✅ Promote best practices in ETL and mentor your team.
ASSUMPTION: This role requires a proactive approach to problem-solving, attention to detail, and the ability to work in a fast-paced, dynamic environment.
🎯 Required Qualifications
Education: Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or a related field).
Experience: 2-5 years of experience in business intelligence, data analysis, or a related field.
Required Skills:
- Excellent statistical and analytical abilities.
- Strong business acumen and judgment.
- Curiosity and strong technical skills.
- Proficient in SQL and data visualization tools (e.g., Tableau, Power BI).
- Experience with ETL processes and tools (e.g., Talend, Informatica).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
Preferred Skills:
- Experience with Amazon Web Services (AWS) products.
- Familiarity with the books and publishing industry.
ASSUMPTION: A strong educational background in a quantitative field and relevant work experience are essential for success in this role.
💰 Compensation & Benefits
Salary Range: CAD 90,000 - 120,000 per year (based on industry standards for a Senior Business Intelligence Engineer in Toronto).
Benefits:
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Maternity and parental leave.
- Employee discounts.
Working Hours: Full-time, typically Monday to Friday, 8:00 AM to 5:00 PM, with flexibility for the right candidate.
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
📌 Applicant Insights
🔍 Company Context
Industry: Amazon is a multinational technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Company Size: Amazon has over 10,000 employees worldwide, providing a large and diverse work environment.
Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, USA.
Company Description:
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking.
- The company is driven by the excitement of building technologies, inventing products, and providing services that change lives.
- Amazon embraces new ways of doing things, makes decisions quickly, and is not afraid to fail.
Company Specialties:
- E-commerce.
- Retail.
- Operations.
- Internet.
Company Website: Amazon.com
ASSUMPTION: Amazon's large size and diverse workforce offer numerous opportunities for growth and collaboration.
📊 Role Analysis
Career Level: This role is at the senior level, requiring significant experience and expertise in business intelligence.
Reporting Structure: The Senior Business Intelligence Engineer reports directly to the Content Demand team lead.
Work Arrangement: This role is on-site, with the possibility of occasional remote work for the right candidate.
Growth Opportunities:
- Advancement to a management or leadership role within the Business Intelligence team.
- Expansion of responsibilities to include mentoring and knowledge-sharing with junior team members.
- Opportunities to work on high-impact projects and drive business decisions across the organization.
ASSUMPTION: This role offers significant growth potential for the right candidate, with opportunities to expand their skills and advance their career within the organization.
🌍 Location & Work Environment
Office Type: Amazon's Toronto office is a modern, collaborative workspace with a focus on employee comfort and productivity.
Office Location(s): 2127 7th Ave., Seattle, WA 98109, US (headquarters); 12900 Worldgate Dr, Herndon, VA 20170, US (east coast hub); 7200 Discovery Dr, Chattanooga, TN 37416, US (southeast hub); 1100 Enterprise Way, Sunnyvale, CA 94089, US (west coast hub); 2170 RT-27, Edison, NJ 08817, US (northeast hub); 10201 Torre Ave, Cupertino, CA 95014, US (Silicon Valley office); 2 Park St, Sydney, NSW 2000, AU (Australian office); 510 W Georgia St, Vancouver, BC V6B 0M3, CA (Canadian office).
Geographic Context:
- Toronto is a multicultural city with a vibrant tech industry and a high quality of life.
- The city offers a mix of urban and suburban living options, with easy access to parks, cultural attractions, and entertainment.
- Toronto has a humid continental climate, with warm, humid summers and cold, snowy winters.
Work Schedule: Full-time, typically Monday to Friday, 8:00 AM to 5:00 PM, with flexibility for the right candidate.
ASSUMPTION: The Toronto office offers a dynamic and collaborative work environment, with opportunities for growth and professional development.
💼 Interview & Application Insights
Typical Process:
- Phone or video screen with the hiring manager.
- Technical assessment or case study.
- On-site interview with the team.
- Final interview with the director or manager.
Key Assessment Areas:
- Technical skills and problem-solving abilities.
- Analytical thinking and data-driven decision-making.
li>Communication and collaboration skills.
- Cultural fit and alignment with Amazon's leadership principles.
Application Tips:
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role.
- Demonstrate your proficiency in SQL and data visualization tools in your application materials.
- Showcase your ability to analyze and interpret data to drive business insights.
ATS Keywords: Business Intelligence, Data Analysis, SQL, Data Visualization, ETL, Optimization, Performance, Amazon, Toronto, On-site
ASSUMPTION: The application process for this role is competitive, and demonstrating your technical proficiency and cultural fit will be crucial for success.
🛠️ Tools & Technologies
- SQL.
- Data visualization tools (e.g., Tableau, Power BI).
- ETL tools (e.g., Talend, Informatica).
- Big data technologies (e.g., Hadoop, Spark).
- Amazon Web Services (AWS) products (preferred).
ASSUMPTION: Familiarity with Amazon Web Services products is not required but would be an asset for this role.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession.
- Passion for invention.
- Commitment to operational excellence.
- Long-term thinking.
Work Style:
- Fast-paced and dynamic.
- Collaborative and team-oriented.
- Data-driven and analytical.
- Innovative and creative.
Self-Assessment Questions:
- How do you stay organized and manage your time in a fast-paced environment?
- Can you provide an example of a time when you used data to drive a business decision or solve a complex problem?
- How do you approach learning new tools and technologies to improve your work?
ASSUMPTION: Amazon values candidates who are passionate about customer obsession, embrace new ways of doing things, and are not afraid to fail.
⚠️ Potential Challenges
- The fast-paced nature of the role may require working on multiple projects simultaneously.
- The role may involve working with large and complex datasets, requiring strong analytical and technical skills.
- Amazon's large size and diverse workforce may present opportunities for collaboration but also competition for resources and attention.
- The role may require occasional travel to other Amazon offices or client sites.
ASSUMPTION: These challenges can be overcome with strong organizational skills, attention to detail, and a proactive approach to problem-solving.
📈 Similar Roles Comparison
- This role differs from other business intelligence roles in its focus on driving business decisions through data analysis and optimization in the content demand space.
- Amazon's large size and diverse workforce offer unique opportunities for growth and collaboration compared to smaller organizations.
- This role may provide opportunities for career advancement within the Business Intelligence team or across the organization.
ASSUMPTION: This role offers a unique opportunity to work on high-impact projects and drive business decisions in a dynamic and collaborative environment.
📝 Sample Projects
- Developing a dashboard to track book sales and customer engagement with author recommendations.
- Analyzing customer data to identify trends and optimize marketing campaigns.
- Collaborating with data engineering teams to design and implement efficient data pipelines for content demand data.
ASSUMPTION: These sample projects demonstrate the range of responsibilities and opportunities for innovation in this role.
❓ Key Questions to Ask During Interview
- Can you describe a typical day or week in this role?
- How does this role collaborate with other teams within the organization?
- What opportunities are there for growth and professional development in this role?
- How does Amazon support work-life balance for its employees?
- What are the most challenging aspects of this role, and how can I best prepare for them?
ASSUMPTION: Asking insightful questions demonstrates your interest in the role and provides an opportunity to assess the company culture and work environment.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link.
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role.
- Prepare a portfolio or examples of your data analysis and visualization work, if applicable.
- Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
