📌 Core Information
🔹 Job Title: Lead, Commerce & Growth Product Analytics
🔹 Company: NBCUniversal
🔹 Location: New York, New York, United States
🔹 Job Type: Full-time
🔹 Category: Entertainment Providers
🔹 Date Posted: May 19, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Hybrid (3 days per week in-office)
🚀 Job Overview
Key aspects of this role include:
- Partnering with senior leadership to optimize acquisition product experiences
- Executing against an acquisition analytics and experimentation roadmap
- Championing Databricks adoption within the team
- Integrating critical new data sources into existing data platforms
- Developing and maintaining reliable, high-performance data pipelines
ASSUMPTION: This role requires a strong background in product analytics, data science, and business understanding to drive meaningful improvements across cross-functional teams.
📋 Key Responsibilities
✅ Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences, providing a data-driven, objective 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: This role involves working closely with various teams to align insights and technical solutions with business objectives, requiring strong collaboration and communication skills.
🎯 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:
- 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
- Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks
- 4+ years of applied experience in acquisition, subscriptions, direct-to-consumer, or media entertainment
Preferred Skills:
- Curious and passionate about democratizing data access and scalability; you operate with a bias for informed action
- Possess a growth mindset and see failure as a necessary step towards advancing learning of yourself and those around you
- Collaborative and skilled in working across teams to align insights and technical solutions with business objectives
ASSUMPTION: Candidates with a strong background in analytics engineering, product analytics, and relevant industry experience are most likely to succeed in this role.
💰 Compensation & Benefits
Salary Range: $115,000 - $145,000 (bonus and long-term incentive eligible)
Benefits:
- Medical, dental, and vision insurance
- 401(k) plan
- Paid leave
- Tuition reimbursement
- Variety of discounts and perks
Working Hours: Full-time, with a hybrid work arrangement (3 days per week in-office)
ASSUMPTION: The salary range is based on industry standards for similar roles and experience levels in the New York area. Benefits are typical for a large corporation and may include additional perks and discounts.
📌 Applicant Insights
🔍 Company Context
Industry: Entertainment Providers. NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across various platforms and bringing it to life through theme parks and consumer experiences.
Company Size: 10,001+ employees. As a large corporation, NBCUniversal offers extensive resources and opportunities for professional growth.
Founded: NBCUniversal was founded in 2004, following the acquisition of Universal Studios by General Electric's NBC unit. It has since grown into a major media conglomerate.
Company Description:
- Owns and operates leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock
- Produces and distributes premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group
- 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
Company Website: http://www.NBCUniversal.com
ASSUMPTION: NBCUniversal's extensive portfolio of brands and content platforms offers applicants a wide range of opportunities to grow and develop their careers within the company.
📊 Role Analysis
Career Level: Experienced professional with a focus on product analytics and data-driven decision-making.
Reporting Structure: This role reports directly to the Senior Manager of Product Analytics and works closely with cross-functional teams, including product development, business, and data engineering.
Work Arrangement: Hybrid, with a minimum of three days per week in the office.
Growth Opportunities:
- Potential to advance within the Product Analytics & Experimentation team or explore opportunities within NBCUniversal's broader organization
- Chance to develop leadership skills by managing projects and mentoring junior team members
- Opportunity to expand expertise in data science, product development, and business understanding
ASSUMPTION: This role offers significant growth potential for candidates looking to advance their careers in product analytics and data-driven decision-making within the entertainment industry.
🌍 Location & Work Environment
Office Type: Corporate office environment with a hybrid work arrangement.
Office Location(s): 30 Rockefeller Plaza, New York, NY 10112-0002, United States
Geographic Context:
- New York City offers a vibrant and diverse cultural scene, with numerous entertainment, dining, and recreational options
- The office is located in Midtown Manhattan, providing easy access to public transportation and various amenities
- New York is a major hub for the entertainment industry, offering numerous networking and professional development opportunities
Work Schedule: Full-time, with a hybrid work arrangement (3 days per week in-office).
ASSUMPTION: The hybrid work arrangement provides flexibility while still fostering a collaborative and inclusive work environment.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a member of the HR team
- In-person interview with an NBCUniversal employee at one of their locations
- Final interview with the hiring manager or a panel of stakeholders
Key Assessment Areas:
- Technical skills in product analytics, data science, and data engineering
- Problem-solving and analytical thinking
- Collaboration and communication skills
- Alignment with NBCUniversal's company values and culture
Application Tips:
- Highlight relevant experience and skills in product analytics, data science, and data engineering
- Tailor your resume and cover letter to emphasize your fit for this specific role and company
- Prepare for behavioral and situational interview questions that assess your problem-solving, collaboration, and communication skills
- Research NBCUniversal's company values and culture to demonstrate your alignment with their mission and goals
ATS Keywords: Product Analytics, Data Science, Data Engineering, Acquisition, Subscription, Direct-to-Consumer, Media Entertainment, Databricks, BigQuery, Tableau, Looker, Airflow, dbt, GitHub
ASSUMPTION: Applicants should tailor their resumes and cover letters to highlight relevant skills and experience, and prepare for interview questions that assess their technical, problem-solving, and collaboration skills.
🛠️ Tools & Technologies
- Databricks
- BigQuery
- Tableau
- Looker
- Airflow
- dbt
- GitHub
ASSUMPTION: Proficiency in these tools and technologies is essential for success in this role, as they are integral to the product analytics and data engineering processes.
👔 Cultural Fit Considerations
Company Values:
- Innovation
- Collaboration
- Excellence
- Integrity
- Inclusion
Work Style:
- Data-driven and results-focused
- Collaborative and inclusive
- Adaptable and responsive to change
- Focused on continuous learning and improvement
Self-Assessment Questions:
- How do you approach data-driven decision-making, and can you provide an example from your past experiences?
- Can you describe a time when you had to collaborate with cross-functional teams to achieve a common goal, and how did you ensure the success of the project?
- How do you handle feedback and criticism, and how do you use it to improve your work and grow as a professional?
ASSUMPTION: Applicants should assess their fit with NBCUniversal's company values and work style to ensure a successful and fulfilling career within the organization.
⚠️ Potential Challenges
- Working with large, complex datasets and ensuring data quality and accuracy
- Balancing the need for data-driven decision-making with the need for timely and efficient execution
- Managing stakeholder expectations and aligning cross-functional teams on performance metrics and goals
- Keeping up with the latest trends and best practices in product analytics, data science, and data engineering
ASSUMPTION: These challenges require strong technical, analytical, and communication skills, as well as a deep understanding of the entertainment industry and its data challenges.
📈 Similar Roles Comparison
- This role is unique in its focus on acquisition product experiences and growth within the entertainment industry, but shares similarities with other product analytics and data engineering roles across various industries
- Unlike other roles, this position requires a strong understanding of subscription and user behavior analytics specific to the entertainment industry
- Career progression in this role may lead to opportunities in senior leadership, data science, or product development within NBCUniversal or the broader entertainment industry
ASSUMPTION: Applicants should consider the unique aspects of this role and how it aligns with their career goals and interests within the entertainment industry.
📝 Sample Projects
- Developing and implementing a data-driven acquisition strategy for a new direct-to-consumer product launch
- Analyzing user behavior data to identify trends and optimize product experiences for increased engagement and retention
- Collaborating with data engineering teams to integrate new data sources and enhance analytical depth within existing data platforms
ASSUMPTION: These sample projects illustrate the data-driven and collaborative nature of this role, as well as the opportunity to work on high-impact initiatives that drive business growth and success.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the broader organization?
- How does the company support the professional development and growth of its employees, particularly within the Product Analytics & Experimentation team?
- What are the key priorities for this role in the first 90 days, and how will success be measured?
- How does the company approach data governance and ensuring the accuracy and security of its data?
- What is the company's long-term vision for its direct-to-consumer and acquisition strategies, and how does this role contribute to that vision?
ASSUMPTION: These questions demonstrate a candidate's interest in the role, the team, and the company's long-term success, while also providing valuable insights into the company's culture and priorities.
📌 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 skills and experience in product analytics, data science, and data engineering
- Prepare for phone or video screens and in-person interviews by researching NBCUniversal's company values and culture, and practicing your responses to behavioral and situational interview questions
- Follow up with the hiring manager or HR team after your interview to express your interest in the role and reiterate your qualifications
- If selected for the position, be prepared to attend an in-person interview with an NBCUniversal employee at one of their locations prior to a hiring decision
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
