People Analytics Partner

Netflix is the world's leading streaming entertainment service with 200+ million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

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. As a member of the team you will help build the foundation for Talent Analytics and partner with executives to help drive business objectives with analysis.

What you will do

• Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze
• Prepare and deliver presentations with rich data visualizations and meaningful business insights and conclusions
• Data-driven and highly analytical, you can translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making at executive levels, within HR, and with people managers.
• You are able to align research priorities with business priorities and take a customer-focused mindset in working with stakeholders.
• 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. 

What You Will Need

• Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data.
• Experience with tools and languages such as SQL, R, Python, and Tableau
• Understanding of the external people analytics landscape and trends.
• Experience in a quantitative field where research and quantitative methods have direct applicability to people research in organizations (data science, statistics, economics, quantitative psychology, organization behavior, social psychology, sociology, bioinformatics/biostatistics, neuroscience, operations research, statistics, management science, etc.)