Principal Researcher, Talent Analytics

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Team:

Talent Analytics partners with leaders across Netflix and the Talent organization to better inform decisions around workforce, talent and org strategy with relevant data and insights. The team leverages its diverse backgrounds and an interdisciplinary approach to define the strategy, approach, and tool(s) best suited to address the question at hand.

We are at a very exciting stage of evolution at Netflix. With the growth in scale, lines of business, geo-diversity, and heterogeneity of employee backgrounds, data and analytics continue to be amongst the most critical levers to drive our business success and enhance our employee experience. Talent analytics operates globally across all functions at Netflix. 

As a Principal Researcher on the Talent Analytics team, you will work with a high-impact team of people analytics partners, reporting analysts, and quantitative social scientists to conduct applied research that informs talent strategy and people-related decisions at Netflix. You will also be expected to serve as a consultant and thought partner to stakeholders and leaders, identifying opportunities to drive business objectives with data analysis and insights.

Key Responsibilities:

• Build trust and effective relationships with key stakeholders across Talent and Netflix, leveraging a highly consultative approach

• Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze 

• Align analytical priorities with business priorities and take a customer-focused mindset in working with stakeholders 

• Utilize appropriate data science methodologies toward attracting, hiring, developing, and retaining qualified talent 

• Translate data and insights into meaningful insights and stories to drive strategy, action, and decision-making within Talent and across leaders across Netflix

• Leverage academic expertise and knowledge of HR industry and people analytics trends to address practical business challenges 

• Exercise traits of adaptability and good judgment to support organizational agility 

• Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization 

You have:

• Experience applying scientific methods and concepts to business problems 

• Experience designing original research to address complex questions

• Skilled in exploratory data analysis, statistical inference, regression modeling 

• Knowledge of methods for causal inference using observational data

• Experience communicating quantitative and qualitative research methods and findings to leaders and non-technical stakeholders

• Ability to conduct statistical analysis using Python, R, or other modern programming languages 

• Ability to access structured data with SQL 

• Understanding of the external people analytics landscape and trends 

• Experience working with large practical datasets and connecting disparate data sources 

• Ease operating in a complex, cross-functional, geo-distributed organization

Additional qualifications that are nice to have:

• PhD or Masters in a quantitative social science field where research and quantitative methods have direct applicability to people research in organizations (economics, sociology, organization behavior, quantitative psychology, social psychology, data science, statistics, bioinformatics/biostatistics, neuroscience, operations research, management science, etc.) 

• 2-5 years experience in the Talent Analytics (or similar) field 

This job is open to remote for well-qualified candidates.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your