📌 Core Information
🔹 Job Title: Business Intelligence Engineer (BIE), Prime Video Catalog, Content Foundations
🔹 Company: Amazon
🔹 Location: Seattle, Washington, United States
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: May 1, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Driving the design, development, and maintenance of innovative and scalable intelligence solutions across the organization.
- Partnering with data engineering and software engineering teams to build best-in-class business intelligence solutions at scale.
- Working with structured and unstructured data sources to develop deep business insights and architect key business metrics.
- Collaborating with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms.
- Mentoring and developing other analytics team members.
ASSUMPTION: This role requires a strong background in data analysis, SQL, ETL, and data architecture to succeed. Familiarity with Redshift, predictive modeling, and machine learning algorithms is also beneficial.
📋 Key Responsibilities
✅ Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.
✅ Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf of our customers.
✅ Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs.
✅ Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.
✅ Partner with scientists to translate business insights and trends into experimentation and testing, and modeling.
✅ Mentor and develop other analytics team members.
ASSUMPTION: This role requires strong project management skills, the ability to work collaboratively with various teams, and a deep understanding of data analysis and business intelligence tools.
🎯 Required Qualifications
Education: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Experience: 2-5 years of experience in business intelligence, data analysis, or a related field.
Required Skills:
- Proficient in SQL, ETL, and data architecture.
- Experience with Redshift and other data warehousing tools.
- Strong analytical and problem-solving skills.
- Ability to manage large-scale data projects.
- Excellent communication and collaboration skills.
Preferred Skills:
- Experience with predictive modeling and machine learning algorithms.
- Familiarity with Amazon Web Services (AWS) and other cloud-based technologies.
- Experience with data visualization tools (e.g., Tableau, Power BI).
ASSUMPTION: While a master's degree in a related field is not required, it may be beneficial for candidates seeking to advance their careers in this role.
💰 Compensation & Benefits
Salary Range: $120,000 - $180,000 per year (based on industry standards for a mid-level BIE role in Seattle)
Benefits:
- Health, dental, and vision insurance.
- 401(k) matching.
- Paid time off and holidays.
- Maternity and paternity leave.
- Employee discounts on Amazon products.
Working Hours: Full-time, typically 40 hours per week. May require occasional overtime or flexible hours to meet project deadlines.
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 operates in the e-commerce, retail, and technology sectors. It is one of the largest and most successful companies in the world, with a market capitalization of over $1 trillion.
Company Size: Amazon has over 10,000 employees worldwide. As a large company, it offers numerous opportunities for career growth and advancement.
Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington.
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's mission is to be Earth's most customer-centric company.
Company Specialties:
- E-commerce and retail.
- Operations and logistics.
- Software development and technology.
Company Website: Amazon.com
ASSUMPTION: Amazon's large size and diverse business segments offer numerous opportunities for career growth and development within the company.
📊 Role Analysis
Career Level: This role is at the mid-level career stage, requiring several years of experience in business intelligence or a related field.
Reporting Structure: The BIE will report directly to the manager of the Global Video Supply Chain organization.
Work Arrangement: This is an on-site role based in Seattle, Washington. However, Amazon offers flexible work arrangements, including remote work and hybrid options, depending on the role and team.
Growth Opportunities:
- Advancement to senior or principal BIE roles within the organization.
- Transition to management or leadership roles within the Global Video Supply Chain organization or other Amazon teams.
- Opportunities to work on high-impact projects and gain exposure to various aspects of Amazon's business.
ASSUMPTION: Given Amazon's size and diverse business segments, there are numerous opportunities for career growth and development within the company.
🌍 Location & Work Environment
Office Type: Amazon's Seattle headquarters is a large, modern office space with collaborative work environments, meeting rooms, and breakout areas.
Office Location(s): 2127 7th Ave, Seattle, WA 98109, US
Geographic Context:
- Seattle is a vibrant, multicultural city with a thriving tech industry.
- The city offers numerous cultural attractions, outdoor activities, and a high quality of life.
- Seattle has a mild, oceanic climate with cool, wet winters and warm, dry summers.
Work Schedule: The standard workweek is Monday through Friday, with core hours of 8:00 AM to 5:00 PM. However, the work schedule may vary depending on the team and project requirements.
ASSUMPTION: While this role is based in Seattle, Amazon offers remote work and hybrid options for many of its positions, allowing for greater flexibility in work arrangements.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening.
- Phone or video screen with a recruiter or HR representative.
- Technical phone or video interview with a member of the data team.
- On-site or virtual interview with the hiring manager and other team members.
- Final decision and offer.
Key Assessment Areas:
- Technical skills in business intelligence, data analysis, and related tools.
- Problem-solving and analytical skills.
- Communication and collaboration skills.
- Cultural fit with Amazon's leadership principles.
Application Tips:
- Highlight relevant experience and skills in your resume, using specific examples and metrics where possible.
- Tailor your cover letter to the specific role and company, explaining why you are a good fit for the position.
- Prepare for technical interview questions by brushing up on your SQL, ETL, and data architecture skills.
- Research Amazon's leadership principles and be prepared to discuss how you embody them in your work.
ATS Keywords: Business Intelligence, Data Analysis, SQL, ETL, Redshift, Data Architecture, Predictive Modeling, Machine Learning, Project Management, Amazon, Prime Video, Global Video Supply Chain
ASSUMPTION: The interview process for this role may vary depending on the specific team and hiring manager, but generally follows the outlined steps.
🛠️ Tools & Technologies
- SQL, ETL, Redshift
- Data visualization tools (e.g., Tableau, Power BI)
- Amazon Web Services (AWS) and other cloud-based technologies
- Machine learning and predictive modeling tools (e.g., Python, R, TensorFlow)
ASSUMPTION: The specific tools and technologies required for this role may vary depending on the team and project, but generally include business intelligence and data analysis tools, as well as cloud-based technologies.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Collaborative and team-oriented
- Fast-paced and innovative
- Data-driven and analytical
- Customer-focused and results-oriented
Self-Assessment Questions:
- Do you have a strong customer focus and a passion for driving customer-centric solutions?
- Are you comfortable working in a fast-paced, innovative environment and embracing change?
- Do you have strong analytical and problem-solving skills, with a deep understanding of data analysis and business intelligence tools?
- Are you a collaborative team player, able to work effectively with various teams and stakeholders?
ASSUMPTION: Amazon's leadership principles emphasize customer obsession, innovation, operational excellence, and long-term thinking. Candidates should be able to demonstrate how they embody these principles in their work and align with Amazon's company culture.
⚠️ Potential Challenges
- The fast-paced nature of the role may require working on multiple projects simultaneously and managing tight deadlines.
- The large scale of Amazon's data may present unique challenges in terms of data management, processing, and analysis.
- The role may require occasional overtime or flexible hours to meet project deadlines.
- The competitive nature of the tech industry may present challenges in terms of career advancement and compensation.
ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth, learning, and career development within the organization.
📈 Similar Roles Comparison
- Compared to other business intelligence engineer roles, this position offers the opportunity to work on high-impact projects within a large, global organization.
- Amazon's focus on customer obsession and innovation sets it apart from other companies in the industry.
- Career paths within Amazon may vary depending on the specific role and team, but generally offer opportunities for growth and advancement within the organization.
ASSUMPTION: While this role is similar to other business intelligence engineer positions, it offers unique opportunities for career growth and development within Amazon's large and diverse organization.
📝 Sample Projects
- Developing a predictive model to forecast customer demand for Prime Video content.
- Analyzing customer viewing data to identify trends and optimize content recommendations.
- Creating a data dashboard to monitor and optimize the performance of Prime Video's content delivery network (CDN).
ASSUMPTION: These sample projects illustrate the types of high-impact, data-driven initiatives that the BIE may work on within the Global Video Supply Chain organization.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Global Video Supply Chain organization?
- How does this role fit into the broader organization and contribute to Amazon's mission?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Amazon support the professional development and growth of its employees?
- What are the most challenging aspects of working in this role, and how can I best prepare for them?
ASSUMPTION: Asking these questions demonstrates your interest in the role and provides valuable insights into the work environment and expectations.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link.
- Tailor your resume to highlight relevant experience and skills, using specific examples and metrics where possible.
- Write a cover letter explaining why you are a good fit for the role and how your skills and experience align with Amazon's leadership principles.
- Prepare for technical interview questions by brushing up on your SQL, ETL, and data architecture skills.
- Research Amazon's leadership principles and be prepared to discuss how you embody them in your work.
- Follow up with the recruiter or hiring manager one week after submitting your application to express your continued interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
