📌 Core Information
🔹 Job Title: Lead, Commerce & Growth Product Analytics
🔹 Company: NBCUniversal
🔹 Location: New York, New York, United States
🔹 Job Type: Full-time, Hybrid (3 days per week in-office)
🔹 Category: Entertainment Providers
🔹 Date Posted: May 19, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Hybrid)
🚀 Job Overview
Key aspects of this role include:
- Partnering with senior management to optimize acquisition product experiences
- Executing against an acquisition analytics and experimentation roadmap
- Championing Databricks adoption and enabling stakeholders to access key metrics
- Integrating critical new data sources and maintaining reliable data pipelines
- Fostering a culture of inclusion, analytical rigor, and teamwork
ASSUMPTION: This role requires a strong technical and analytical background, with a focus on acquisition, subscriptions, and direct-to-consumer media entertainment. The ideal candidate will have experience working with large datasets and driving insights to improve product experiences.
📋 Key Responsibilities
✅ Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven perspective that aligns cross-functional teams on performance against key goals.
✅ Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.
✅ Champion Databricks adoption within the team, enabling analysts and stakeholders to independently access, explore, and interpret key metrics.
✅ Lead the integration of critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth.
✅ Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.
✅ Foster a culture of inclusion, empathy, analytical rigor, and teamwork, while driving the company's success.
ASSUMPTION: The role involves a mix of technical tasks, such as data pipeline development and data source integration, as well as strategic responsibilities, like driving insights and fostering a data-driven culture.
🎯 Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related discipline).
Experience: 4+ years of experience working with analytics engineering and product analytics stack (e.g., Databricks, BigQuery, Tableau, Looker, Airflow, dbt, GitHub, etc.).
Required Skills:
- Proficient in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
- Advanced SQL skills for analytics and data analysis (Python or R).
- Experience performing analysis with large time series datasets.
- Experience in defining data collection and measurement requirements.
Preferred Skills:
- Curious and passionate about democratizing data access and scalability; operates with a bias for informed action.
- Possesses a growth mindset and sees failure as a necessary step towards advancing learning of oneself and those around them.
- Collaborative and skilled in working across teams to align insights and technical solutions with business objectives.
ASSUMPTION: The required skills for this role are highly technical, with a focus on data analysis, data engineering, and product analytics. The preferred skills emphasize a candidate's ability to work collaboratively, learn from failures, and make data-driven decisions.
💰 Compensation & Benefits
Salary Range: $115,000 - $145,000 (bonus and long-term incentive eligible).
Benefits:
- Medical, dental, and vision insurance
- 401(k)
- Paid leave
- Tuition reimbursement
- Discounts and perks
Working Hours: Full-time, typically 40 hours per week, with the flexibility to work remotely for up to two days per week.
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles at NBCUniversal. The benefits listed are standard for full-time employees at the company.
📌 Applicant Insights
🔍 Company Context
Industry: NBCUniversal is a leading media and entertainment company, operating in the competitive entertainment providers industry. The company's success relies on its ability to create, distribute, and monetize engaging content across various platforms.
Company Size: NBCUniversal is a large company with over 10,000 employees, providing ample opportunities for collaboration and growth. However, the size may also present challenges in terms of communication and decision-making.
Founded: NBCUniversal was founded in 2004, following the acquisition of Universal Studios by General Electric. The company has since grown into a global media powerhouse.
Company Description:
- NBCUniversal creates world-class content, including film, television, and streaming services, and brings it to life through theme parks and consumer experiences.
- The company owns and operates leading entertainment and news brands, such as NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock.
- NBCUniversal produces and distributes premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and has world-renowned theme parks and attractions through Universal Destinations & Experiences.
Company Specialties:
- Content creation and distribution
- Theme parks and consumer experiences
- News and entertainment broadcasting
- Streaming services
Company Website: http://www.NBCUniversal.com
ASSUMPTION: NBCUniversal's success is driven by its ability to create and distribute engaging content across various platforms, as well as its strong brand recognition and extensive reach.
📊 Role Analysis
Career Level: This role is at the senior level, requiring a high degree of expertise and experience in product analytics and data engineering.
Reporting Structure: The ideal candidate will report directly to the Senior Manager of Product Analytics and work closely with cross-functional teams, including product development, business, and data engineering.
Work Arrangement: This role is hybrid, requiring employees to be present in the office for a minimum of three days per week. The remaining two days can be worked remotely.
Growth Opportunities:
- As a senior-level role, there may be opportunities for the candidate to mentor junior team members and contribute to the development of the team's skills and processes.
- With NBCUniversal's extensive portfolio of brands and platforms, there may be opportunities for the candidate to take on additional responsibilities or move into different roles within the company.
- The company's focus on innovation and digital transformation may present opportunities for the candidate to work on cutting-edge projects and technologies.
ASSUMPTION: The growth opportunities for this role are primarily focused on skill development, mentorship, and exposure to new projects and technologies within the company's extensive portfolio of brands and platforms.
🌍 Location & Work Environment
Office Type: NBCUniversal's New York office is a modern, collaborative workspace designed to foster creativity and innovation.
Office Location(s): 30 Rockefeller Plaza, New York, New York, United States
Geographic Context:
- New York City is a major global hub for media, entertainment, and technology, providing ample opportunities for networking and professional growth.
- The city offers a diverse range of cultural, recreational, and dining options, making it an attractive location for both work and leisure.
- New York's competitive job market may present challenges in terms of attracting and retaining top talent.
Work Schedule: Full-time, typically 40 hours per week, with the flexibility to work remotely for up to two days per week.
ASSUMPTION: The work environment at NBCUniversal's New York office is collaborative and innovative, with ample opportunities for professional growth and development. The location in New York City provides access to a diverse range of cultural, recreational, and networking opportunities, as well as a competitive job market.
💼 Interview & Application Insights
Typical Process:
- Initial phone or video screen with a member of the HR team or a manager from the Product Analytics & Experimentation team.
- On-site interview at NBCUniversal's New York office, including meetings with the hiring manager, team members, and other stakeholders.
- Final interview with a senior leader or executive from the company.
Key Assessment Areas:
- Technical skills and expertise in product analytics and data engineering.
- Problem-solving and analytical skills, with a focus on driving insights and improving product experiences.
- Communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Cultural fit and alignment with NBCUniversal's values and mission.
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role, with a focus on product analytics, data engineering, and acquisition/subscription-based media entertainment.
- Prepare for behavioral interview questions that assess your problem-solving, communication, and collaboration skills, as well as your ability to work in a fast-paced, dynamic environment.
- Research NBCUniversal's company culture and values to demonstrate your understanding of the company and your alignment with its mission.
ATS Keywords: Product Analytics, Data Engineering, Acquisition, Subscription, Media Entertainment, Databricks, BigQuery, Tableau, Looker, Airflow, dbt, GitHub, SQL, Dimensional Modeling, Data Collection, Measurement Requirements
ASSUMPTION: The application process for this role is likely to be competitive, with a focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit with NBCUniversal's values and mission.
🛠️ Tools & Technologies
- Databricks
- BigQuery
- Tableau
- Looker
- Airflow
- dbt
- GitHub
- SQL
ASSUMPTION: The required tools and technologies for this role are primarily focused on data engineering, data analysis, and product analytics. Familiarity with these tools and technologies is essential for success in this role.
👔 Cultural Fit Considerations
Company Values:
- Innovation: NBCUniversal values creativity, innovation, and a willingness to take risks to drive growth and success.
- Collaboration: The company fosters a culture of collaboration and teamwork, with a focus on leveraging the strengths and expertise of its diverse workforce.
- Inclusion: NBCUniversal is committed to creating an inclusive and diverse workplace, where all employees feel valued and respected.
Work Style:
- Fast-paced and dynamic: NBCUniversal operates in a fast-paced and dynamic environment, requiring employees to be adaptable, resilient, and able to manage multiple priorities.
- Data-driven: The company values a data-driven approach to decision-making, with a focus on leveraging insights and analytics to inform strategy and improve performance.
- Collaborative: NBCUniversal fosters a culture of collaboration and teamwork, with a focus on leveraging the strengths and expertise of its diverse workforce.
Self-Assessment Questions:
- How do you approach data-driven decision-making, and how have you applied this approach in previous roles?
- Can you describe a time when you had to collaborate with cross-functional teams to drive insights and improve product experiences? What was the outcome?
- How do you handle ambiguity and uncertainty in a fast-paced, dynamic environment? Can you provide an example from a previous role?
ASSUMPTION: NBCUniversal values candidates who are innovative, collaborative, and data-driven, with a strong commitment to inclusion and diversity. The ideal candidate will be able to thrive in a fast-paced, dynamic environment and contribute to the company's success through their expertise and skills.
⚠️ Potential Challenges
- Working in a large, matrixed organization may present challenges in terms of communication, decision-making, and navigating internal politics.
- The competitive job market in New York City may present challenges in attracting and retaining top talent.
- The role requires a high degree of technical expertise and experience, which may limit the pool of qualified candidates.
- The hybrid work arrangement may present challenges in terms of maintaining a consistent work-life balance and fostering a sense of team cohesion.
ASSUMPTION: The potential challenges for this role are primarily related to the size and complexity of the organization, the competitive job market in New York City, the high degree of technical expertise required, and the hybrid work arrangement.
📈 Similar Roles Comparison
- This role is similar to other senior-level product analytics roles in the media and entertainment industry, but may differ in terms of the specific focus on acquisition and subscription-based media entertainment.
- The role may require more experience with data engineering and data collection/measurement requirements than similar roles in other industries.
- Career progression in this role may involve moving into more senior leadership positions within the Product Analytics & Experimentation team or taking on additional responsibilities within the broader organization.
ASSUMPTION: This role is similar to other senior-level product analytics roles in the media and entertainment industry, but may differ in terms of the specific focus on acquisition and subscription-based media entertainment. Career progression in this role may involve moving into more senior leadership positions or taking on additional responsibilities within the broader organization.
📝 Sample Projects
- Developing and maintaining reliable data pipelines in Databricks to support acquisition analytics and experimentation for Commerce Product & Growth teams.
- Integrating critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth and inform product strategy.
- Partnering with cross-functional teams to define data collection and measurement requirements, ensuring that data is accurate, complete, and actionable.
ASSUMPTION: The sample projects for this role are focused on data engineering, data analysis, and product analytics, with a specific focus on acquisition and subscription-based media entertainment.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Product Analytics & Experimentation team, and how this role fits into the broader organization?
- How does NBCUniversal support the professional development and growth of its employees, particularly in senior-level roles like this one?
- Can you provide an example of a time when the company successfully leveraged data-driven insights to improve product experiences and drive business results?
- How does NBCUniversal foster a culture of inclusion and diversity, and what specific initiatives are in place to support this?
- What are the key priorities for this role in the first 30-60-90 days, and how will success be measured?
ASSUMPTION: The key questions to ask during the interview for this role should focus on team structure and dynamics, professional development opportunities, data-driven decision-making, company culture, and the priorities and expectations for the role.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role, with a focus on product analytics, data engineering, and acquisition/subscription-based media entertainment.
- Prepare for behavioral interview questions that assess your problem-solving, communication, and collaboration skills, as well as your ability to work in a fast-paced, dynamic environment.
- Research NBCUniversal's company culture and values to demonstrate your understanding of the company and your alignment with its mission.
- Follow up with the hiring manager or HR contact within one week of submitting your application to express your interest and reiterate your qualifications for the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
