📌 Core Information
🔹 Job Title: Business Analyst, Seller Growth and Development
🔹 Company: Amazon
🔹 Location: Seattle, WA, USA
🔹 Job Type: On-site
🔹 Category: Business & Analytics
🔹 Date Posted: April 22, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: No (On-site)
🚀 Job Overview
Key aspects of this role include:
- Driving Selling Partner growth through actionable recommendations
- Collaborating cross-functionally to define, build, and scale metrics
- Analyzing data to inform business decisions and strategy
- Working with engineers to build self-service reports and automate processes
ASSUMPTION: This role requires a strong analytical mindset, business acumen, and attention to detail. The ideal candidate will be comfortable working with large datasets and have experience with SQL and BI tools.
📋 Key Responsibilities
✅ Own defining, building, and scaling metrics and analytical insights to drive operations, strategy, and planning
✅ Collaborate with cross-functional teams to ensure the right data is captured for informed business decisions
✅ Work with engineers to build self-service reports and establish automated processes for large scale data analyses
✅ Communicate findings and recommendations to stakeholders, including senior leadership
ASSUMPTION: The role requires strong communication skills to effectively convey complex data insights to non-technical stakeholders.
🎯 Required Qualifications
Education: Bachelor's degree in Business, Economics, Mathematics, Statistics, or a related field
Experience: 2-5 years of experience in data analysis, business intelligence, or a related role
Required Skills:
- Proficient in SQL and data manipulation
- Experience with BI services such as QuickSight
- Strong analytical and problem-solving skills
- Excellent communication and project management skills
Preferred Skills:
- Experience with Amazon Web Services (AWS) or other cloud platforms
- Familiarity with A/B testing and experiment design
- Knowledge of the e-commerce industry
ASSUMPTION: While not explicitly stated, experience with AWS or other cloud platforms would be beneficial for working with Amazon's tech stack.
💰 Compensation & Benefits
Salary Range: $85,000 - $120,000 per year (Based on industry standards for a Business Analyst role in Seattle, WA)
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 (40 hours per week), with some flexibility for remote work
ASSUMPTION: The salary range is an estimate based on industry standards for a Business Analyst role in Seattle, WA. Actual compensation may vary based on experience and performance.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and Technology
Company Size: 10,001+ employees (Enterprise)
Founded: 1994 (as an online bookstore)
Company Description:
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
- The company offers a wide range of products and services, including e-commerce, digital streaming, artificial intelligence, and cloud computing
- Amazon is known for its innovative culture and commitment to continuous improvement
Company Specialties:
- E-commerce
- Retail
- Operations
- Internet
Company Website: Amazon.com
ASSUMPTION: Working at Amazon offers opportunities for professional growth and exposure to cutting-edge technology. However, the company's size and fast-paced culture may also present challenges in terms of work-life balance and career advancement.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports to the Growth Recommendations team within the Selling Partner Growth organization
Work Arrangement: On-site, with some flexibility for remote work
Growth Opportunities:
- Potential to move into more senior roles within the Selling Partner Growth organization or other teams within Amazon
- Opportunities to work on high-impact projects and gain exposure to senior leadership
- Chance to learn and develop new skills through Amazon's various training and development programs
ASSUMPTION: This role offers opportunities for career growth and skill development within Amazon's large and diverse organization.
🌍 Location & Work Environment
Office Type: Corporate headquarters with open-plan offices and collaborative workspaces
Office Location(s): Seattle, WA, USA
Geographic Context:
- Seattle is a major tech hub with a thriving startup scene and a high cost of living
- The city offers a mix of urban and outdoor activities, with easy access to nature and cultural attractions
- Seattle has a moderate climate with cool, wet winters and mild, mostly dry summers
Work Schedule: Standard business hours with some flexibility for remote work
ASSUMPTION: Living and working in Seattle offers access to a vibrant tech industry and a high quality of life, but may also come with a higher cost of living compared to other cities in the US.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a recruiter
- Technical phone or video interview with a hiring manager or team member
- On-site interview with multiple team members, including a case study or data analysis exercise
- Final interview with the hiring manager or director
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Cultural fit and alignment with Amazon's leadership principles
- Technical skills in SQL and BI tools
Application Tips:
- Highlight relevant experience with data analysis, SQL, and BI tools in your resume
- Tailor your cover letter to demonstrate your understanding of the role and Amazon's mission
- Prepare for the case study or data analysis exercise by practicing your problem-solving skills and familiarizing yourself with Amazon's data
ATS Keywords: Data Analysis, SQL, Business Intelligence, Problem-Solving, Communication, Amazon, Selling Partner Growth, Growth Recommendations
ASSUMPTION: The interview process for this role may be competitive and rigorous, with a strong focus on technical skills and cultural fit.
🛠️ Tools & Technologies
- SQL
- QuickSight
- Amazon Web Services (AWS)
- Microsoft Office Suite
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role. Candidates should be comfortable learning and using new tools as needed.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Invent and Simplify
- Learn and Be Curious
- Hire and Develop the Best
- Insist on the Highest Standards
- Think Big
- Bias for Action
- Frugality
- Earn Trust
Work Style:
- Fast-paced and dynamic
- Collaborative and cross-functional
- Data-driven and analytical
- Innovative and experimental
Self-Assessment Questions:
- Do you have a strong customer focus and a passion for understanding customer needs?
- Are you comfortable working in a fast-paced, dynamic environment and making data-driven decisions?
- Do you thrive in a collaborative, cross-functional work environment?
- Are you curious and eager to learn and develop new skills?
ASSUMPTION: Amazon's culture is fast-paced, innovative, and data-driven, with a strong focus on customer obsession and continuous improvement. Candidates should be comfortable working in a dynamic environment and be eager to learn and adapt.
⚠️ Potential Challenges
- Working in a large, fast-paced organization with many moving parts and priorities
- Managing multiple stakeholders and competing priorities
- Keeping up with the company's rapid growth and change
- Balancing work-life integration in a demanding environment
ASSUMPTION: These challenges are common in large, fast-growing organizations and may require strong communication, time management, and adaptability skills to navigate successfully.
📈 Similar Roles Comparison
- This role is similar to a Business Intelligence Analyst or Data Analyst role, but with a stronger focus on driving business growth and strategy
- Unlike other roles, this position requires a deep understanding of Amazon's Selling Partner ecosystem and the ability to work cross-functionally within the organization
- Career progression in this role may lead to more senior roles within Amazon's Selling Partner Growth organization or other teams within the company
ASSUMPTION: This role offers unique opportunities for career growth and skill development within Amazon's large and diverse organization.
📝 Sample Projects
- Analyzing Selling Partner growth trends and identifying opportunities for targeted recommendations
- Developing and implementing A/B tests to optimize Selling Partner engagement and growth
- Creating self-service reports and dashboards to monitor Selling Partner performance and identify trends
ASSUMPTION: These projects are representative of the types of analyses and initiatives the Business Analyst may work on in this role.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Growth Recommendations team?
- How does this role contribute to Amazon's overall mission and strategy for Selling Partner growth?
- What are the most pressing challenges facing the Selling Partner Growth organization, and how does this role help address them?
- How does Amazon support the professional development and growth of its employees in this role?
- What is the typical career path for someone in this role, and what opportunities exist for growth and advancement within the organization?
ASSUMPTION: These questions are designed to help candidates better understand the role, the team, and the company, and to demonstrate their interest and engagement in the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight your relevant experience with data analysis, SQL, and BI tools
- Write a cover letter that demonstrates your understanding of the role and Amazon's mission and values
- Prepare for the case study or data analysis exercise by practicing your problem-solving skills and familiarizing yourself with Amazon's data
- Follow up with the recruiter 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.
