Producer, Analytics & Insights, Prime Video Live Events

📌 Core Information

🔹 Job Title: Producer, Analytics & Insights, Prime Video Live Events

🔹 Company: Amazon

🔹 Location: Culver City, California, United States

🔹 Job Type: On-site

🔹 Category: Sports, Analytics, Production

🔹 Date Posted: April 10, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Working on the Prime Video production team focusing on the NBA
• Shaping the identity of Prime Video’s NBA and live sports offerings
• Collaborating with various teams to integrate sports data into broadcasts
• Thriving in a startup-like environment with flexibility and autonomy

ASSUMPTION: This role requires a strong understanding of sports data analytics and the ability to generate innovative ideas for NBA programming. The dynamic and fast-paced nature of live sports production means the ideal candidate should be comfortable dealing with ambiguity and working autonomously.

📋 Key Responsibilities

✅ Generating, researching, and pitching innovative ideas for integration in NBA programming

✅ Being comfortable in receiving and giving editorial and production feedback

✅ Having a deep understanding of Prime Video sports content and how storytelling will be deployed across all relevant platforms

✅ Supporting NBA productions by integrating sports data into broadcasts and enhancing the customer experience

✅ Contributing to the use of data and insights into other Prime Video properties like NFL and NASCAR

ASSUMPTION: The responsibilities listed are specific to supporting NBA productions, but the role may also involve contributing to other live sports events as needed.

🎯 Required Qualifications

Education: Bachelor's degree in a related field (e.g., Statistics, Mathematics, Sports Management, or a similar field)

Experience: 2-5 years of experience in sports data analytics, sports production, or a related field

Required Skills:

• Fluent understanding of sports data analytics industry trends
• Strong statistical analysis skills
• Excellent project management and stakeholder management skills
• Ability to work autonomously and thrive in a dynamic environment
• Strong communication and collaboration skills

Preferred Skills:

• Experience working with basketball or other professional sports leagues
• Familiarity with predictive modeling and data visualization tools
• Previous experience in a production environment

ASSUMPTION: While a background in sports data analytics is preferred, candidates with strong analytical skills and a passion for sports may also be considered.

💰 Compensation & Benefits

Salary Range: $80,000 - $120,000 per year (based on industry standards for the role, experience level, and location)

Benefits:

• Comprehensive health, dental, and vision care
• 401(k) matching
• Generous paid time off
• On-site services and amenities

Working Hours: Full-time, with a flexible schedule that may include nights, weekends, and holidays during live events

ASSUMPTION: The salary range provided is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and internal equity.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce, Retail, and Technology

Company Size: 10,001+ employees (Large enterprise)

Founded: 1994 (Over 25 years ago)

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 online retail
• Technology and innovation
• Content creation and streaming services
• Cloud computing and artificial intelligence

Company Website: Amazon.com

ASSUMPTION: Working at Amazon means being part of a large, dynamic organization with a strong focus on innovation and customer obsession. The company's size and resources allow for significant growth opportunities, but the applicant should be prepared for a fast-paced and sometimes competitive work environment.

📊 Role Analysis

Career Level: Mid-level (2-5 years of experience)

Reporting Structure: This role reports to the Prime Video production team and works closely with various teams, including data scientists, producers, and on-air talent

Work Arrangement: On-site, with a flexible schedule that may include nights, weekends, and holidays during live events

Growth Opportunities:

• Advancement within the Prime Video production team or other departments within Amazon
• Expanding skills in data analysis, production, and sports industry knowledge
• Potential to work on high-profile live events and projects

ASSUMPTION: This role offers opportunities for growth and development within the sports production and analytics fields. The dynamic nature of live sports events may also present unique challenges and learning experiences.

🌍 Location & Work Environment

Office Type: On-site, with a modern and collaborative work environment

Office Location(s): Culver City, California

Geographic Context:

• Culver City is located in the Greater Los Angeles area, offering a mix of urban and suburban living
• The area is known for its vibrant arts and entertainment scene, with numerous film and television studios nearby
• Culver City offers a diverse range of neighborhoods, dining options, and cultural attractions

Work Schedule: Full-time, with a flexible schedule that may include nights, weekends, and holidays during live events

ASSUMPTION: The on-site work environment at Amazon's Culver City office is designed to foster collaboration and innovation. The flexible work schedule may require applicants to be available during live events, which can occur at various times throughout the year.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screen with a recruiter or hiring manager
• On-site or virtual interview with the hiring team
• Final round interview with senior leadership

Key Assessment Areas:

• Understanding of sports data analytics and industry trends
• Problem-solving and analytical skills
• Communication and collaboration skills
• Adaptability and flexibility in a dynamic environment

Application Tips:

• Highlight relevant experience and skills in sports data analytics, production, or a related field
• Tailor your resume and cover letter to emphasize your understanding of the role and how your skills and experience make you a strong fit
• Prepare for behavioral and situational interview questions that focus on your problem-solving, communication, and collaboration skills

ATS Keywords: Sports data analytics, basketball, NBA, live sports production, statistical analysis, project management, stakeholder management, innovation, editorial feedback, storytelling, data insights

ASSUMPTION: The application process for this role may involve multiple rounds of interviews, with a focus on assessing the candidate's understanding of sports data analytics, problem-solving skills, and ability to work effectively in a dynamic team environment.

🛠️ Tools & Technologies

• Data analysis and visualization tools (e.g., Tableau, Power BI, or similar)
• Spreadsheet software (e.g., Microsoft Excel or Google Sheets)
• Project management software (e.g., Asana, Trello, or similar)
• Video editing and production software (e.g., Adobe Premiere Pro, Avid Media Composer, or similar)

ASSUMPTION: The specific tools and technologies required for this role may vary depending on the projects and teams the candidate works with. Familiarity with relevant software and a willingness to learn new tools as needed are essential.

👔 Cultural Fit Considerations

Company Values:

• Customer obsession
• Ownership
• Invent and simplify
• Learn and be curious
• Hire and develop the best
• Insist on the highest standards
• Think big
• Bias for action
• Frugality

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 I have a strong understanding of sports data analytics and industry trends?
• Am I comfortable working in a dynamic and fast-paced environment with a flexible schedule?
• Do I have strong communication and collaboration skills, and am I able to work effectively with various teams?
• Am I passionate about sports, specifically basketball, and eager to contribute to the growth of Prime Video's live sports offerings?

ASSUMPTION: Amazon's company culture is characterized by its customer obsession, innovation, and high standards. Applicants should be prepared for a fast-paced, collaborative, and results-driven work environment that prioritizes continuous learning and improvement.

⚠️ Potential Challenges

• Working on tight deadlines and under pressure during live events
• Managing multiple projects and stakeholders simultaneously
• Adapting to changes in priorities and workflows
• Navigating a large organization with diverse teams and departments

ASSUMPTION: The dynamic nature of live sports production and the size of Amazon as an organization may present unique challenges for the ideal candidate. Strong project management, communication, and adaptability skills are essential for success in this role.

📈 Similar Roles Comparison

• This role is unique in its focus on integrating sports data into live sports broadcasts for Prime Video
• Similar roles may include sports data analyst, sports production assistant, or similar positions within other sports organizations or streaming services
• Career paths in this field may lead to roles such as senior producer, director of sports programming, or other leadership positions within the sports industry

ASSUMPTION: While this role is unique in its focus on live sports production for Prime Video, it shares similarities with other sports data analytics and production roles within the industry. Applicants should consider the specific aspects of this role that make it unique and how they align with their career goals and interests.

📝 Sample Projects

• Developing predictive models to anticipate game outcomes and player performance
• Creating data-driven visualizations to enhance the broadcast experience for viewers
• Collaborating with producers to integrate sports data into live event coverage and storytelling
• Conducting research on sports industry trends and identifying opportunities for innovation in Prime Video's live sports offerings

ASSUMPTION: The specific projects the candidate may work on will depend on the needs of the Prime Video production team and the live sports events they cover. The projects listed are intended to provide a sense of the types of initiatives the candidate may be involved in.

❓ Key Questions to Ask During Interview

• Can you describe a typical day or week in this role during the NBA season?
• How does this role collaborate with other teams within Prime Video and Amazon more broadly?
• What opportunities are there for growth and development within this role and the Prime Video production team?
• How does Amazon support work-life balance for employees in this role?
• Can you provide examples of how this role has contributed to the growth and success of Prime Video's live sports offerings in the past?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates the candidate's interest in the role and their commitment to understanding the organization and its culture. The questions listed are intended to provide a starting point for applicants to tailor their inquiries based on their specific interests and concerns.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the Amazon Jobs portal
• Tailor your resume and cover letter to highlight your relevant experience and skills in sports data analytics, production, or a related field
• Prepare for behavioral and situational interview questions that focus on your problem-solving, communication, and collaboration skills
• If selected for an interview, be prepared to discuss your understanding of sports data analytics, industry trends, and your ability to work effectively in a dynamic team environment
• Follow up with the hiring team within one week of your interview 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.