A

Content Insight Analyst, US CAM

Amazon
Full-time
On-site
Culver City, California, United States
πŸ“Š Marketing Analyst

πŸ“Œ Core Information

πŸ”Ή Job Title: Content Insight Analyst, US CAM

πŸ”Ή Company: Amazon

πŸ”Ή Location: Culver City, California, United States

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: Content & Media

πŸ”Ή Date Posted: June 3, 2025

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: On-site (Remote OK)

πŸš€ 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.

πŸ“‹ Key Responsibilities

βœ… Analyze performance data to evaluate the value of licensed content for Prime Video

βœ… Support content acquisition deal work, including deep dives on specific series/movies

βœ… Stand up and own reporting mechanisms using customer behavior, usage, and consumption data

βœ… Handle ad-hoc content acquisition requests, primarily US customer journey and key performance indicator analyses for select content categories

βœ… 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.

🎯 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.

πŸ’° 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.

πŸ“Œ Applicant Insights

πŸ” 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.

πŸ“Š 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.

🌍 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.

πŸ’Ό 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.

πŸ› 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.

πŸ‘” 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.

⚠️ 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.

πŸ“ˆ 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.

πŸ“ 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.

❓ 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.

πŸ“Œ 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

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.