What are the responsibilities and job description for the Lead, Viewing Product Analytics position at NBCUniversal Media, LLC?
Company Overview
We create world-class content that we distribute across our portfolio of film, television, and streaming platforms, as well as bring to life through our theme parks and consumer experiences.
We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service.
We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences.
About the Role
This role is part of a team responsible for understanding app performance and delivering recommendations to expand and engage with key audiences.
The successful candidate will work closely with Product teams to analyze data trends and develop actionable insights.
Responsibilities
- Partner with Product teams to understand app performance and deliver recommendations to expand and engage with key audiences
- Prepare and lead presentations with cross-functional and executive stakeholders
- Work within large datasets to interpret trends and turn those into actionable recommendations
- Build and distribute actionable dashboards or reports to ensure data democratization and informed decision making
- Advise on hypotheses and A/B Test Design. Assist in experiment wrap-up reports by various user cohorts and dimensions
- Partner with Data Engineering teams to identify and enhance data sources
Requirements
- At least 4 years of experience working in a data-oriented role
- BA/BS or MS degree in a quantitative area of study (Statistics, Mathematics, Economics, Finance, or Computer Science) or relevant work experience
- Proficient in SQL and Excel (R or Python a plus)
- Experience with Tableau, Looker, Domo or equivalent data visualization tools
- Experience working with large datasets
- Knowledge of A/B and multivariate tools, as well as statistical models
Additional Requirements
- Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week
