Senior Research Analyst

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 Quantitative & Screening Operations Pod sits in Consumer Insights and our mission is to build solutions for quantitative research projects and programs. This includes partnerships on custom quantitative research projects, global trackers, and online screenings. We employ best practices alongside innovative methodologies to capture the voice of the consumer. 

We are looking for a stunning Senior Research Analyst to join the CI Core Group. CI-Core focuses on primary research execution and maintaining quality standards for our ongoing research projects. This role will partner with Core, Research Program Managers, and Consumer Insights Researchers to execute internal research projects. It will also identify and drive opportunities to innovate and build efficiency in internal member sampling and sampling workstreams. 

In this role, you will leverage your:

• Strategic Thinking: Insatiable business and research curiosity lay the foundation for proactively thinking through sampling to enable qualitative and quantitative programs in partnership with Researchers and Program Managers. 

• Sampling & Analytical Skills: To effectively plan and execute research sampling across a global research team, managing multiple & diverse work streams at one time.

• Familiarity in Consumer Research: knowledge of qualitative and quantitative research methods, you will lead sampling strategies in the consumer research context. 

• Project Management Skills: Develop and lead end-to-end workflows for sampling and messaging members for research purposes. This includes leading recurring meetings with Program Managers, initiating kick off meetings with Researchers, and proactively managing a project pipeline.

• Global First Mentality: Take a regionally minded approach to designing best-fit tools and methodologies to deliver impactful insights (vs replicating or modifying a US-centric approach).

About you:

• Experience with messaging data & knowledge of response rates and bias in consumer research

• Advanced ability to leverage SQL (5+ years) to extract and combine disparate data sources is required. 

• Familiarity with Tableau, R, Python, SAS, STATA or similar programming languages is a plus

• Strong quantitative reasoning and analytical skills with programming knowledge & experience using survey software (eg. Decipher/Focus Vision, Qualtrics, etc)

• Familiar with statistical methodologies such as randomized sampling, power analysis & hypothesis testing. Familiar with the benefits and limitations of research practices

• Research familiarity working with qualitative and quantitative methods, trend data, cross-sectional data, and integrating data across different sources to achieve the research objective

• Strong track record of partnering with stakeholders to translate complex business problems into reliable analytic solutions

• Experience planning, developing, and maintaining research, data and related databases and systems

• Strong written and verbal communication skills and excellent organizational skills

• Strong multitasking capabilities and the able to work successfully in an environment of tight timeframes and constant change

• Bachelor's degree or relevant experience

Key Focus Areas:

• Use SQL to lead research sampling execution across the Consumer Insights team with an understanding of both Quantitative and Qualitative consumer research methods

• Combining disparate data sets using SQL, to assist in the day-to-day operations of the Consumer Insights team at Netflix

• Define data requirements, gather and validate information, applies judgment and statistical tests to support the execution of consumer research

• Leverage analytic thinking & experience working with big data to target, curate, and stratify samples for research projects

• Partner with Researchers, Research Program Managers, Data Scientists, and Engineers to develop best practices in research recruitment strategy & allocation