Lead, Commerce & Growth Product Analytics

📌 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 on-site)

🔹 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
• Leading Databricks adoption and integration of new data sources
• Developing and maintaining reliable data pipelines in collaboration with Data Engineering
• Fostering a culture of inclusion, analytical rigor, and teamwork

ASSUMPTION: This role requires a strong technical, analytical, and product background, with a focus on acquisition, subscriptions, or direct-to-consumer products.

📋 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 ideal candidate will have experience working with analytics engineering and product analytics stacks, as well as familiarity with 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) or equivalent experience

Experience: 4+ years of experience working with analytics engineering and product analytics stacks, with 4+ years of applied experience in acquisition, subscriptions, direct-to-consumer, or media entertainment

Required Skills:

• Proficiency 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:

• Curiosity and passion for democratizing data access and scalability
• Growth mindset and seeing failure as a necessary step towards advancing learning
• Collaborative skills and ability to work across teams to align insights and technical solutions with business objectives

ASSUMPTION: Candidates should have a strong foundation in analytics and data analysis, with a focus on subscription and user behavior analytics.

💰 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 a hybrid work arrangement requiring on-site presence for a minimum of 3 days per week

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles, experience levels, and locations. The actual salary may vary depending on factors such as the candidate's qualifications and the company's internal equity.

📌 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 organization, NBCUniversal offers numerous opportunities for growth and collaboration across various brands and divisions.

Founded: NBCUniversal was founded in 2004 through the acquisition of Universal Studios by General Electric, and later became a subsidiary of Comcast Corporation in 2011.

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 allows for diverse career paths and opportunities within the company.

📊 Role Analysis

Career Level: Mid-level to senior. This role requires a strong foundation in analytics and data analysis, with a focus on subscription and user behavior analytics, and the ability to lead projects and collaborate with cross-functional teams.

Reporting Structure: This role reports directly to the Senior Manager of Product Analytics and may oversee junior analysts or other team members.

Work Arrangement: Hybrid. This role requires a minimum of 3 days on-site per week, with the remaining days being flexible for remote work.

Growth Opportunities:

• Advancement within the Product Analytics & Experimentation team or related departments
• Expansion into leadership or management roles within NBCUniversal
• Cross-functional collaboration and project involvement across various brands and divisions

ASSUMPTION: NBCUniversal's large size and diverse portfolio provide ample opportunities for career growth and development within the company.

🌍 Location & Work Environment

Office Type: Hybrid. This role requires a minimum of 3 days on-site per week, with the remaining days being flexible for remote work.

Office Location(s): 30 Rockefeller Plaza, New York City, NY

Geographic Context:

• New York City is a major hub for media and entertainment, offering numerous networking and professional development opportunities
• The office is located in Midtown Manhattan, providing easy access to public transportation and various amenities
• The city's vibrant culture and diverse population foster an inclusive and dynamic work environment

Work Schedule: Full-time, typically 40 hours per week, with a hybrid work arrangement requiring on-site presence for a minimum of 3 days per week

ASSUMPTION: The hybrid work arrangement offers flexibility while ensuring regular on-site collaboration and engagement with the team.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the hiring manager or a member of the team
• In-person interview with the hiring manager and other team members
• Final interview with the Senior Manager of Product Analytics or another senior leader

Key Assessment Areas:

• Technical skills and experience with analytics engineering and product analytics stacks
• Analytical and problem-solving abilities
• Collaboration and communication skills
• Alignment with NBCUniversal's values and company culture

Application Tips:

• Highlight relevant experience and skills, with a focus on subscription and user behavior analytics
• 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 analytical, problem-solving, and collaboration skills

ATS Keywords: Product Analytics, Acquisition, Subscription, User Behavior, Databricks, Data Pipelines, Collaboration, Cross-functional Teams, Data-driven Decisions

ASSUMPTION: NBCUniversal's application process is designed to assess candidates' technical skills, analytical abilities, and cultural fit for the role and company.

🛠️ Tools & Technologies

• Databricks
• BigQuery
• Tableau
• Looker
• Airflow
• dbt
• GitHub

ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role, as they are integral to NBCUniversal's data analytics and engineering processes.

👔 Cultural Fit Considerations

Company Values:

• Inclusion
• Empathy
• Analytical Rigor
• Teamwork

Work Style:

• Collaborative
• Data-driven
• Innovative
• Results-focused

Self-Assessment Questions:

• Do you thrive in a collaborative, data-driven environment?
• Are you comfortable working with large datasets and performing complex analyses?
• Do you possess strong communication and presentation skills to effectively convey insights to stakeholders?

ASSUMPTION: NBCUniversal values candidates who align with their core values and work style, emphasizing collaboration, data-driven decision-making, and a results-focused approach.

⚠️ Potential Challenges

• Managing multiple data sources and ensuring data quality and consistency
• Balancing the need for data-driven insights with the demands of a fast-paced, dynamic business environment
• Collaborating effectively with cross-functional teams and stakeholders with varying levels of data literacy
• Adapting to changes in the data landscape and evolving business priorities

ASSUMPTION: These challenges require strong technical, analytical, and communication skills, as well as the ability to adapt and thrive in a dynamic environment.

📈 Similar Roles Comparison

• Compared to other product analytics roles, this position has a stronger focus on acquisition, subscriptions, and user behavior analytics, as well as data pipeline development and management
• Within NBCUniversal, this role is part of the Product Analytics & Experimentation team, which supports various brands and divisions across the company's portfolio
• Career progression may involve expanding into leadership or management roles within the team or related departments, or exploring opportunities within other brands or divisions

ASSUMPTION: This role offers unique opportunities for growth and development within NBCUniversal's diverse portfolio of brands and content.

📝 Sample Projects

• Developing and implementing a data pipeline to track user engagement with acquisition product experiences
• Analyzing user behavior data to identify trends and optimize product features and functionality
• Collaborating with cross-functional teams to define and measure key performance indicators (KPIs) for acquisition product experiences

ASSUMPTION: These sample projects illustrate the range of responsibilities and collaborative opportunities available in this role.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the Product Analytics & Experimentation team?
• How does this role collaborate with other teams and departments within NBCUniversal?
• What are the most pressing challenges facing the acquisition product experiences, and how can this role contribute to addressing them?
• How does NBCUniversal support the professional development and growth of its employees in this role?
• What is the company's approach to work-life balance, particularly for hybrid roles like this one?

ASSUMPTION: These questions help assess the role's fit with your skills, interests, and career goals, as well as the company's culture and work environment.

📌 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, with a focus on subscription and user behavior analytics
• Prepare for behavioral and situational interview questions that assess your analytical, problem-solving, and collaboration skills
• Follow up with the hiring manager or a member of the team within 7-10 days after submitting your application to express your interest and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.