π Core Information
πΉ Job Title: Lead, Commerce & Growth Product Analytics
πΉ Company: NBCUniversal
πΉ Location: New York, United States
πΉ Job Type: Full-time, Hybrid (3 days per week on-site)
πΉ Category: Entertainment Providers
πΉ Date Posted: April 23, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: On-site (Hybrid)
π 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
- 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, and direct-to-consumer media entertainment.
π Key Responsibilities
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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.
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Execute against an acquisition analytics and experimentation roadmap for Commerce Product & Growth teams, ensuring insights drive meaningful improvements.
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Champion Databricks adoption within the team, enabling analysts and stakeholders to independently access, explore, and interpret key metrics.
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Lead the integration of critical new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth.
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Develop and maintain reliable, high-performance data pipelines in Databricks in collaboration with Data Engineering.
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Foster a culture of inclusion, empathy, analytical rigor, and teamwork, while driving the company's success.
ASSUMPTION: The role involves working closely with various teams to align insights and technical solutions with business objectives, requiring strong collaboration skills.
π― 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 SQL for analytics and data analysis (Python or R.)
- Experience performing analysis with large time series datasets.
- Experience in defining data collection and measurement requirements.
- Familiarity with data challenges specific to subscription and user behavior analytics.
- Proficiency in dimensional modeling and designing datasets for business analytics use cases, preferably within Databricks.
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: Candidates should have a strong technical and analytical background, with experience in defining data collection requirements and working with large time series datasets.
π° Compensation & Benefits
Salary Range: $115,000 - $145,000 (bonus and long-term incentive eligible). This range is based on industry standards for this role, experience level, and location. The actual salary may vary based on factors such as skills, qualifications, and experience.
Benefits:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k)
- Paid Leave
- Tuition Reimbursement
- Discounts
- Perks
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 skills, qualifications, and experience.
π Applicant Insights
π Company Context
Industry: NBCUniversal is a leading entertainment and news provider, offering a wide range of content across film, television, streaming, and theme parks. They are a subsidiary of Comcast Corporation.
Company Size: NBCUniversal has over 10,000 employees, providing a large and diverse work environment.
Founded: NBCUniversal was founded in 2004, following the acquisition of Universal Studios by General Electric's NBC.
Company Description:
- Creates world-class content across film, television, streaming, and theme parks.
- 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:
- Entertainment Providers
- Media Entertainment
- Streaming Services
- Theme Parks & Attractions
Company Website: http://www.NBCUniversal.com
ASSUMPTION: NBCUniversal is a large, well-established company with a diverse range of content and brands, offering numerous opportunities for growth and development.
π Role Analysis
Career Level: This role is at the senior individual contributor level, with potential for growth into management or leadership positions.
Reporting Structure: The role reports directly to the Senior Manager of Product Analytics and works closely with various teams across the organization.
Work Arrangement: The role is a hybrid position, requiring employees to be on-site for a minimum of three days per week.
Growth Opportunities:
- Potential to move into management or leadership roles within the Product Analytics & Experimentation team or related departments.
- Opportunities to work on high-impact projects and drive meaningful improvements in acquisition product experiences.
- Chance to develop expertise in Databricks and other data platforms, enhancing analytical skills and career prospects.
ASSUMPTION: This role offers significant growth opportunities, both within the team and across the broader organization, for candidates with strong technical and analytical skills.
π Location & Work Environment
Office Type: NBCUniversal's headquarters is located in New York City, with additional offices and facilities worldwide.
Office Location(s): 30 Rockefeller Plaza, New York, NY 10112-0002, United States
Geographic Context:
- New York City is a major global hub for media, entertainment, and finance, offering numerous cultural, social, and professional opportunities.
- The office is located in Midtown Manhattan, close to public transportation and various amenities.
- The city experiences all four seasons, with cold winters and warm summers.
Work Schedule: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement (3 days per week on-site).
ASSUMPTION: The hybrid work arrangement offers a balance between on-site collaboration and remote work, providing flexibility for employees to manage their schedules effectively.
πΌ Interview & Application Insights
Typical Process:
- Online application submission through the NBCUniversal careers portal.
- Phone or video screen with a member of the HR team to discuss the role and assess cultural fit.
- On-site or virtual interview with the hiring manager and other team members to discuss technical skills, experience, and alignment with the role's requirements.
- Final round interview with senior leadership to assess fit and make a hiring decision.
Key Assessment Areas:
- Technical skills and experience with data platforms, analytics, and data engineering.
- Analytical and problem-solving abilities.
- Collaboration and communication skills, with a focus on working across teams.
- Alignment with NBCUniversal's values and company culture.
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Be prepared to discuss your experience with data collection requirements, time series datasets, and data platforms like Databricks.
- Demonstrate your ability to work collaboratively and drive meaningful improvements in acquisition product experiences.
ATS Keywords: Product Analytics, Data Science, Business Understanding, SQL, Dimensional Modeling, Data Engineering, Experimentation, Data Pipelines, Analytical Rigor, Collaboration, Data Challenges, Acquisition Analytics, Subscriptions, User Behavior Analytics, Databricks, BigQuery
ASSUMPTION: The application process for this role is likely to be competitive, requiring candidates to demonstrate strong technical skills and a clear understanding of the role's requirements.
π οΈ 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 the team's data analytics and engineering processes.
π Cultural Fit Considerations
Company Values:
- Inclusion: NBCUniversal strives to foster a diverse, equitable, and inclusive culture where employees feel supported, embraced, and heard.
- Empathy: The company values empathy and understanding, encouraging employees to consider different perspectives and work collaboratively.
- Analytical Rigor: NBCUniversal emphasizes data-driven decision-making and encourages employees to approach problems with a critical and analytical mindset.
Work Style:
- Collaborative: The role requires working closely with various teams to align insights and technical solutions with business objectives.
- Data-Driven: NBCUniversal prioritizes data-driven decision-making, with a focus on using data to inform and optimize product experiences.
- Innovative: The company encourages employees to think creatively and explore new approaches to problem-solving.
Self-Assessment Questions:
- How do you align with NBCUniversal's commitment to inclusion and fostering a diverse, equitable, and inclusive culture?
- Describe a time when you had to work collaboratively with multiple teams to drive meaningful improvements in a product or service. How did you ensure that your insights and technical solutions aligned with business objectives?
- How do you approach data-driven decision-making, and how have you used data to optimize product experiences in the past?
ASSUMPTION: NBCUniversal places a strong emphasis on cultural fit, seeking candidates who align with the company's values and work style.
β οΈ Potential Challenges
- The role requires working with large time series datasets, which can be complex and time-consuming to analyze.
- NBCUniversal is a large organization with numerous teams and stakeholders, which can present challenges in terms of communication and collaboration.
- The hybrid work arrangement may require employees to adapt to a balance between on-site and remote work, which can have its own set of challenges.
- The role is based in New York City, which can have a high cost of living and competitive job market.
ASSUMPTION: These challenges can be mitigated with strong technical skills, effective communication and collaboration, and a willingness to adapt to a hybrid work environment.
π Similar Roles Comparison
- This role differs from related positions in its focus on acquisition product experiences and growth within the Commerce & Growth team.
- Industry-specific context: NBCUniversal's unique position as a leading entertainment and news provider offers opportunities to work on high-impact projects and drive meaningful improvements in acquisition product experiences.
- Career path comparison: This role offers potential for growth into management or leadership positions within the Product Analytics & Experimentation team or related departments.
ASSUMPTION: This role offers unique opportunities and challenges compared to related positions, with a focus on acquisition product experiences and growth within the Commerce & Growth team.
π Sample Projects
- Developing and maintaining reliable data pipelines in Databricks to support acquisition analytics and experimentation roadmaps.
- Integrating new data sources (e.g., transactions, page latency, error events) into existing data platforms to enhance analytical depth and inform product decisions.
- Partnering with cross-functional teams to optimize acquisition product experiences and drive meaningful improvements in key performance indicators.
ASSUMPTION: These sample projects highlight the role's focus on data-driven decision-making, collaboration, and driving meaningful improvements in acquisition product experiences.
β Key Questions to Ask During Interview
- Can you describe the team's current acquisition analytics and experimentation roadmap, and how this role will contribute to its success?
- How does the Product Analytics & Experimentation team collaborate with other departments, such as Product, Engineering, and Marketing, to drive meaningful improvements in acquisition product experiences?
- What opportunities are there for growth and development within the team and across the broader organization?
- How does NBCUniversal support work-life balance for employees working in a hybrid arrangement?
- Can you provide an example of a time when the company successfully optimized an acquisition product experience using data-driven insights and collaboration?
ASSUMPTION: Asking these questions can help candidates better understand the role's requirements, the team's dynamics, and NBCUniversal's culture and values.
π 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, with a focus on data collection requirements, time series datasets, and data platforms like Databricks.
- Prepare for interviews by researching NBCUniversal's values, culture, and recent projects, and practicing your responses to common interview questions.
- Follow up with the hiring manager or HR representative within one week of submitting your application to express your interest and reiterate your qualifications.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.