Netflix is looking to leverage consumer-driven analytics to answer complex business challenges by developing and maintaining data pipelines, tooling, and visualizations that make insights about consumers widely available across the company.
Requirements
- Highly fluent in SQL for working with big data
- Proficient with scripting languages such as Python; familiarity with Scala is a plus
- Experienced in engineering data pipelines and orchestrating workflows
- Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)
- Experience working with 3rd party APIs for data ingestion is a plus
- Experience working with or interest in survey data and/or social data is a plus
Responsibilities
- Develop and maintain scalable data pipelines to manage and transform large amounts of survey, social, and behavioral data that make consumer insights widely available across the company
- Create highly intuitive, visual dashboards with a focus on high business impact.
- Take ownership of existing dashboards and data tools with an eye for improving those resources to facilitate self-service analytics.
- Collaborate with Researchers, Engineers and Data Scientists to conduct analyses and apply statistics to answer specific day-to-day questions or support larger initiatives.
- Develop data-driven stories to answer some of the toughest questions in entertainment through data visualization and the summarizing of insights in verbal and written form.
- Conduct actionable, statistically sound analyses and research to help shape our understanding of how our consumers and their experience with Netflix.
- Identify, compute, and validate the appropriate data sources and metrics to shape strategy or measure success in a business area
Other
- Cultivate strong partnerships with cross-functional stakeholders
- Bring vision to a developing space, identifying the root question(s) to solve for, and how to unearth insights that will inform key business decisions.
- Passion for exploring and improving technical datasets and logging
- Passion for using data to accurately represent the needs and perspectives of our consumers
- Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise
- Comfort with ambiguity; ability to thrive with minimal oversight and process
- Embodies the Netflix values while bringing a new perspective to continue improving our culture
