Quantitative Researcher, Product Experience

Job Description

Quantitative Researcher, Product Experience (Pricing Strategy)

Netflix is the world's leading streaming entertainment service for over 210 million households in more than 190 countries, connecting people of all ages with stories they love on any of their favorite devices.

The Product Experience Research team is central in uncovering compelling ways to engage and entertain our global members. This Researcher role supports our core pricing team, which sets and adjusts our pricing strategy around the world to maximize long-term revenue. Specifically, this role will explore themes such as affordability, competition, and perceived value.

This is an opportunity to lead innovative research with a demonstrable impact on a global scale. You will be responsible for defining, leading, analyzing, and socializing research studies that generate insights to empower business decisions across the company. You'll partner with cross-functional teams passionate about delivering the most engaging, innovative, and inclusive experiences.

In this role, you will:
• Design, execute and socialize research that generates insights to inform our global pricing strategy
• Synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact
• Proactively partner with other CI researchers and cross-functional partners, including Product, Data Science, SP&A, Content, Marketing, and Brand, to develop new research initiatives
• Identify best practices in existing and emerging research methodologies

About you:
• Experience in product research, market research, and/or analytics, including hands-on experience leading end-to-end quantitative research studies. Some mixed methods research experience is preferred but not required.
• A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesize findings
• Strong communicator with a bias toward action to proactively collaborate with multiple teams across the company
• Self-starter and problem solver who loves ''getting in the weeds'' with quantitative data (including survey data, public ''big data'' repositories, and internal logged data).
• Experience with data querying, wrangling, and analysis; proficient in SQL and R.
• Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Experience with longitudinal analysis, multilevel/mixed effects modeling, and/or survey weighting a plus.
• Advanced degree in psychology, social sciences, or a related field is preferred but not required
• Global research experience is preferred but not required
• Experience or interest in growth and pricing research preferred

Jobcode: Reference SBJ-ro59b3-13-59-36-203-42 in your application.