📌 Core Information
🔹 Job Title: Lead, Commerce & Growth Product Analytics
🔹 Company: NBCUniversal
🔹 Location: New York, United States (Hybrid)
🔹 Job Type: Full-time
🔹 Category: Entertainment Providers
🔹 Date Posted: April 23, 2025
🔹 Experience Level: Mid-Senior level (5-10 years)
🔹 Remote Status: On-site/Hybrid (3 days per week)
🚀 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
- Champions Databricks adoption within the team
- Leading the integration of critical new data sources into existing data platforms
- Developing and maintaining reliable, high-performance data pipelines
- Fostering a culture of inclusion, empathy, analytical rigor, and teamwork
ASSUMPTION: This role requires a strong technical, analytical, and product background, with a focus on acquisition, subscriptions, direct-to-consumer, or media entertainment.
📋 Key Responsibilities
✅ Partner with the Senior Manager of Product Analytics to optimize acquisition product experiences
✅ Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams
✅ Champion Databricks adoption within the team
✅ Lead the integration of critical new data sources into existing data platforms
✅ Develop and maintain reliable, high-performance data pipelines in Databricks
✅ Foster a culture of inclusion, empathy, analytical rigor, and teamwork
ASSUMPTION: This role requires a deep understanding of data challenges specific to subscription and user behavior analytics.
🎯 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
- Possess a growth mindset and see failure as a necessary step towards advancing learning
- Collaborative and skilled in working across teams to align insights and technical solutions with business objectives
ASSUMPTION: Candidates should have a strong technical and analytical background, with a focus on acquisition, subscriptions, direct-to-consumer, or media entertainment.
💰 Compensation & Benefits
Salary Range: $115,000 - $145,000 (bonus and long-term incentive eligible)
Benefits:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k)
- Paid Leave
- Tuition Reimbursement
- Discounts
- Perks
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles, experience levels, and locations.
📌 Applicant Insights
🔍 Company Context
Industry: Entertainment Providers
Company Size: 10,001+ employees
Founded: 1926 (as NBC; merged with Universal Studios in 2004 to form NBCUniversal)
Company Description:
- Creates world-class content for film, television, streaming, theme parks, and consumer experiences
- 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
- Strives to foster a diverse, equitable, and inclusive culture where employees feel supported, embraced, and heard
Company Specialties:
- Film and television production and distribution
- Streaming services
- Theme parks and attractions
- News and entertainment broadcasting
Company Website: NBCUniversal.com
ASSUMPTION: NBCUniversal is a large, well-established entertainment company with a diverse range of brands and offerings.
📊 Role Analysis
Career Level: Mid-Senior level (5-10 years of experience)
Reporting Structure: Reports directly to the Senior Manager of Product Analytics
Work Arrangement: Hybrid (3 days per week on-site)
Growth Opportunities:
- Potential to advance within the Product Analytics & Experimentation team or explore other roles within NBCUniversal
- Opportunity to work on high-impact projects and drive business growth
- Chance to develop leadership and mentoring skills by guiding team members and stakeholders
ASSUMPTION: This role offers significant opportunities for professional growth and development within a large, established organization.
🌍 Location & Work Environment
Office Type: Corporate office environment
Office Location(s): 30 Rockefeller Plaza, New York, NY 10112-0002, USA
Geographic Context:
- New York City is a major global hub for media, entertainment, and finance
- The office is located in Midtown Manhattan, near various amenities and transportation options
- The area offers a mix of urban and suburban living options
Work Schedule: Full-time (40 hours per week), with flexible hours and the ability to work remotely some days
ASSUMPTION: The work environment is dynamic, fast-paced, and collaborative, with a focus on driving business results through data-driven insights.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a member of the HR team
- In-person interview with the hiring manager and/or team members
- Final interview with senior leadership
Key Assessment Areas:
- Technical skills and experience with data analytics and engineering tools
- Analytical and problem-solving abilities
- Communication and collaboration skills
- Cultural fit and alignment with NBCUniversal's values
Application Tips:
- Highlight relevant experience and achievements in data analytics, engineering, and product development
- Tailor your resume and cover letter to emphasize skills and experiences relevant to this role
- Prepare for behavioral and technical interview questions focused on data analysis, problem-solving, and collaboration
ATS Keywords: Product Analytics, Data Science, Business Understanding, SQL, Dimensional Modeling, Data Engineering, Experimentation, Data Pipelines, Collaboration, Analytical Rigor, Data Challenges, Acquisition Analytics, User Behavior Analytics, Growth Mindset, Curiosity, Empathy
ASSUMPTION: The application process may involve multiple rounds of interviews, with a focus on assessing technical skills, analytical abilities, and cultural fit.
🛠️ Tools & Technologies
- Databricks
- BigQuery
- Tableau
- Looker
- Airflow
- dbt
- GitHub
- SQL (Python or R)
ASSUMPTION: This role requires proficiency in various data analytics and engineering tools, with a focus on Databricks and SQL.
👔 Cultural Fit Considerations
Company Values:
- Inclusion: Fostering a diverse, equitable, and inclusive culture where employees feel supported, embraced, and heard
- Empowerment: Empowering employees to drive business growth and innovation
- Excellence: Striving for excellence in all aspects of the business
Work Style:
- Collaborative: Working closely with cross-functional teams to drive business results
- Data-driven: Making decisions based on data and analytics
- Innovative: Continuously seeking new and better ways to approach challenges
Self-Assessment Questions:
- Do you thrive in a collaborative, data-driven environment?
- Are you passionate about driving business growth through analytics and insights?
- Do you possess a growth mindset and see failure as a necessary step towards advancing learning?
ASSUMPTION: NBCUniversal values a diverse, inclusive, and collaborative work environment, with a focus on driving business growth through data-driven insights.
⚠️ Potential Challenges
- Working with large, complex datasets and ensuring data quality and accuracy
- Balancing the need for quick insights with the requirement for rigorous, thorough analysis
- Managing stakeholder expectations and communicating findings effectively to non-technical team members
- Adapting to a dynamic, fast-paced work environment with shifting priorities and deadlines
ASSUMPTION: This role presents unique challenges and opportunities for growth and development within a large, established organization.
📈 Similar Roles Comparison
- Compared to other product analytics roles, this position places a greater emphasis on acquisition and growth-focused analytics
- Industry-specific context: The entertainment industry is highly competitive and dynamic, with a constant need for innovative, data-driven strategies
- Career path comparison: This role offers opportunities for advancement within the Product Analytics & Experimentation team or exploration of other roles within NBCUniversal
ASSUMPTION: This role is well-suited for candidates with a strong background in acquisition, subscriptions, direct-to-consumer, or media entertainment, as well as a solid foundation in data analytics and engineering.
📝 Sample Projects
- Developing and implementing a comprehensive data pipeline to track user acquisition and engagement across multiple platforms
- Analyzing user behavior data to identify trends, optimize product experiences, and drive business growth
- Collaborating with cross-functional teams to define and measure key performance indicators (KPIs) and other critical metrics
ASSUMPTION: Sample projects for this role would involve working with large, complex datasets to drive business insights and optimize product experiences.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within it?
- What are the most pressing challenges facing the team, and how can this role help address them?
- How does NBCUniversal support the professional growth and development of its employees?
- What is the company's approach to data governance and ensuring data quality and accuracy?
- How does the company foster a culture of inclusion, empathy, and collaboration?
ASSUMPTION: Asking thoughtful, insightful questions during the interview process demonstrates your interest in the role and commitment to driving business results.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Prepare for behavioral and technical interview questions focused on data analysis, problem-solving, and collaboration
- Follow up with the hiring manager or HR team within one week of submitting your application
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
