🔹 Job Title: Lead, Commerce & Growth Product Analytics
🔹 Company: NBCUniversal
🔹 Location: New York, NY
🔹 Job Type: Full-time, Hybrid (3 days per week on-site)
🔹 Category: Product & Growth
🔹 Date Posted: May 19, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Hybrid)
Key aspects of this role include:
ASSUMPTION: This role requires a strong technical, analytical, and product background, with a focus on acquisition, subscriptions, and direct-to-consumer media entertainment.
✅ 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: This role involves working closely with various teams to align insights and technical solutions with business objectives, requiring strong collaboration and communication skills.
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, with 4+ years of applied experience in acquisition, subscriptions, direct-to-consumer, or media entertainment.
Required Skills:
Preferred Skills:
ASSUMPTION: Candidates should have a strong technical and analytical background, with a focus on acquisition and user behavior analytics, and experience working with large datasets.
Salary Range: $115,000 - $145,000 (bonus and long-term incentive eligible). This range is based on industry standards for a Lead Product Analytics role in the New York area, considering the required experience level and the company's size.
Benefits:
Working Hours: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement (3 days per week on-site).
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
Industry: NBCUniversal operates in the entertainment industry, with a focus on creating and distributing world-class content across various platforms, including film, television, streaming, and theme parks.
Company Size: NBCUniversal is a large company with over 10,000 employees, providing ample opportunities for collaboration and growth.
Founded: NBCUniversal was founded in 2004, following the acquisition of Universal Studios by General Electric's NBC. It has since grown into a leading media and entertainment company.
Company Description:
Company Specialties:
Company Website: NBCUniversal.com
ASSUMPTION: NBCUniversal's large size and diverse portfolio provide candidates with numerous opportunities to grow and develop their skills within the company.
Career Level: This role is at the senior individual contributor level, with the potential to manage or mentor junior team members.
Reporting Structure: The ideal candidate will report directly to the Senior Manager of Product Analytics and work closely with various cross-functional teams, including Product, Engineering, and Data Science.
Work Arrangement: This role is a hybrid position, requiring employees to be on-site for a minimum of three days per week.
Growth Opportunities:
ASSUMPTION: This role offers significant growth opportunities, both in terms of developing leadership skills and advancing one's career within NBCUniversal.
Office Type: NBCUniversal's headquarters is located in New York City, with a modern and collaborative work environment.
Office Location(s): 30 Rockefeller Plaza, New York, NY 10112-0002
Geographic Context:
Work Schedule: Full-time, with a hybrid work arrangement (3 days per week on-site).
ASSUMPTION: The hybrid work arrangement offers flexibility while still providing opportunities for in-person collaboration and networking.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Product Analytics, Acquisition, Data Engineering, Databricks, BigQuery, Tableau, Looker, Airflow, dbt, Github, Subscription, User Behavior, Collaboration
ASSUMPTION: NBCUniversal's application process is designed to assess candidates' technical skills, problem-solving abilities, and cultural fit within the organization.
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role, as they are used extensively for data analysis, engineering, and visualization.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: NBCUniversal values candidates who are strong collaborators, analytical thinkers, and effective communicators, with a passion for driving business results through data-driven insights.
ASSUMPTION: These challenges require strong analytical, communication, and time management skills, as well as the ability to work effectively in a collaborative, fast-paced environment.
ASSUMPTION: This role offers a unique opportunity to work at the intersection of product analytics, data engineering, and business development, with ample opportunities for growth and development within NBCUniversal.
ASSUMPTION: These sample projects illustrate the types of high-impact, data-driven initiatives that candidates can expect to work on in this role.
ASSUMPTION: Asking these questions demonstrates your interest in the role and provides valuable insights into NBCUniversal's company culture, team dynamics, and expectations for success.
To apply for this position:
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.