π Core Information
πΉ Job Title: Content Insight Analyst, US CAM
πΉ Company: Amazon
πΉ Location: Culver City, California, United States
πΉ Job Type: Full-time
πΉ Category: Content & Media
πΉ Date Posted: June 3, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site (Remote OK)
π Job Overview
Key aspects of this role include:
- Analyzing performance data to assess the value of licensed content for Prime Video
- Supporting content acquisition deal work and creating reporting mechanisms to inform decision-making
- Collaborating with cross-functional teams to improve efficiency and scale analytical capabilities
- Working with large datasets and creating dashboards to visualize insights
ASSUMPTION: This role requires strong analytical skills and experience with data analysis. Familiarity with content acquisition and reporting is preferred.
π Key Responsibilities
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Analyze performance data to evaluate the value of licensed content for Prime Video
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Support content acquisition deal work, including deep dives on specific series/movies
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Stand up and own reporting mechanisms using customer behavior, usage, and consumption data
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Handle ad-hoc content acquisition requests, primarily US customer journey and key performance indicator analyses for select content categories
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Provide support for the lead content insight analyst on data requests to improve efficiency and scale analytical capabilities, especially with complex projects
ASSUMPTION: This role involves working with large datasets and creating visualizations to communicate insights effectively.
π― Required Qualifications
Education: Bachelor's degree in a related field (e.g., Statistics, Mathematics, Economics, or a similar quantitative discipline)
Experience: 2-5 years of experience in data analysis, business intelligence, or a related field
Required Skills:
- Proficient in Excel and other data analysis tools
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to work independently and in a team environment
- Familiarity with content acquisition and reporting
Preferred Skills:
- Experience with SQL and Python
- Familiarity with content licensing and negotiation processes
- Knowledge of the entertainment industry
ASSUMPTION: While a background in the entertainment industry is not required, it may be beneficial for understanding the context of the data being analyzed.
π° Compensation & Benefits
Salary Range: $70,000 - $110,000 per year (Based on industry standards for the role, experience level, and location)
Benefits:
- Medical, dental, and vision insurance
- 401(k) matching
- Paid time off and holidays
- Employee discounts on Amazon products
- On-site services and amenities (for on-site employees)
Working Hours: Full-time (40 hours per week), with flexibility for remote work
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
π Applicant Insights
π Company Context
Industry: E-commerce and Technology
Company Size: 10,001+ employees (Enterprise-level)
Founded: 1994 (Headquarters: Seattle, WA, USA)
Company Description:
- Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
- Amazon Prime Video is a streaming service that offers a vast collection of movies, TV shows, and original content
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
Company Specialties:
- E-commerce platform
- Cloud computing services (AWS)
- Digital streaming (Prime Video, Prime Music, etc.)
- Artificial intelligence and machine learning
- Hardware devices (Kindle, Fire Tablet, Echo, etc.)
Company Website: Amazon.com
ASSUMPTION: Working at Amazon offers opportunities for career growth and exposure to various aspects of the business.
π Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports directly to the Lead Content Insight Analyst
Work Arrangement: On-site with remote flexibility
Growth Opportunities:
- Potential to take on more complex projects and mentoring responsibilities
- Opportunities to collaborate with cross-functional teams and learn from other analysts
- Possibility to transition into other roles within the Content Acquisition or Prime Video teams
ASSUMPTION: This role offers opportunities for professional growth and development within the Content Acquisition and Prime Video teams.
π Location & Work Environment
Office Type: Corporate office with on-site amenities
Office Location(s): Culver City, California, United States
Geographic Context:
- Culver City is located in the western part of the Greater Los Angeles area
- The office is close to several restaurants, shops, and public transportation options
- The area offers a mix of urban and suburban living, with beaches, mountains, and cultural attractions nearby
Work Schedule: Standard business hours with flexibility for remote work
ASSUMPTION: The Culver City office offers a collaborative and dynamic work environment, with opportunities for professional growth and development.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with a recruiter
- Technical interview with the hiring manager or a team member
- On-site interview with the team, including a case study or data analysis exercise
- Final interview with the hiring manager or a senior leader
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Cultural fit and alignment with Amazon's leadership principles
- Understanding of the entertainment industry (preferred)
Application Tips:
- Highlight relevant data analysis experience and achievements in your resume
- Tailor your cover letter to explain how your skills and experience make you a strong fit for this role
- Prepare for the case study or data analysis exercise by practicing your problem-solving skills and familiarizing yourself with Amazon's data analysis tools
ATS Keywords: Data analysis, content acquisition, reporting, customer behavior, performance data, dashboards, collaboration, efficiency improvement, content licensing, negotiation, project management, communication, problem-solving, creativity
ASSUMPTION: The interview process for this role is designed to assess the candidate's technical skills, cultural fit, and alignment with Amazon's leadership principles.
π οΈ Tools & Technologies
- Excel
- SQL
- Python (preferred)
- Data visualization tools (e.g., Tableau, Power BI)
- Project management tools (e.g., Asana, JIRA)
ASSUMPTION: Familiarity with these tools and technologies is preferred but not required. Training and support will be provided as needed.
π 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
- Focused on innovation and continuous improvement
- Results-driven and data-informed
Self-Assessment Questions:
- Do you have a strong passion for data analysis and problem-solving?
- Are you comfortable working in a fast-paced, dynamic environment?
- Do you thrive in a collaborative, team-oriented setting?
- Are you results-driven and committed to continuous improvement?
ASSUMPTION: Amazon's company culture is fast-paced, innovative, and collaborative. Candidates who thrive in this environment and align with Amazon's leadership principles are likely to succeed in this role.
β οΈ Potential Challenges
- Working with large datasets and complex data analysis tools
- Meeting tight deadlines and managing multiple projects simultaneously
- Navigating a large, fast-paced organization with a diverse range of teams and stakeholders
- Adapting to changes in priorities and work demands
ASSUMPTION: These challenges can be overcome with strong analytical skills, effective communication, and a results-driven approach.
π Similar Roles Comparison
- This role is similar to a Business Intelligence Analyst or Data Analyst position within the entertainment industry
- Unlike other roles, this position focuses specifically on content acquisition and licensing for a streaming service
- Career progression may involve transitioning into more senior roles within the Content Acquisition or Prime Video teams
ASSUMPTION: This role offers unique opportunities for candidates interested in the entertainment industry and data analysis.
π Sample Projects
- Analyzing customer behavior data to inform content acquisition strategies
- Creating dashboards to visualize performance data and track key metrics
- Conducting ad-hoc analyses to support content acquisition deals and negotiations
ASSUMPTION: These projects are representative of the types of tasks and responsibilities associated with this role.
β 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 Prime Video and Amazon?
- What opportunities are there for professional growth and development within 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 prepare for them?
ASSUMPTION: These questions are designed to help candidates better understand the role, the team, and the company culture.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight your data analysis experience and skills
- Write a cover letter explaining how your background and skills make you a strong fit for this role
- Prepare for the case study or data analysis exercise by practicing your problem-solving skills and familiarizing yourself with Amazon's data analysis tools
- Follow up with the recruiter one week after submitting your application to check the status of your application
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.