Analytics Engineer, Consumer Insights - Data Management & Analytics

Job Description

Analytics Engineer (L4), Consumer Insights - Data Management & Analytics

Netflix is revolutionizing entertainment and shaping the evolution of storytelling around the world. We are also a data-inspired company and use this competitive advantage to constantly improve our product and content for the benefit of our members.

The Data Management and Analytics pod sits within the Consumer Insights team and comprises quantitative-leaning, technical experts with specializations in data engineering and data science. This team's superpower is its unparalleled ability to bring clarity and a new perspective to nuanced and complicated business problems. They independently shine a light on opportunities and challenges or provide vital data to collaborative initiatives to ensure that insights inspire action and innovation across the company.

We're looking for a passionate Analytics Engineer to join the Consumer Insights Data Management and Analytics team. The opportunity to leverage consumer research to impact critical decisions is unprecedented. In this role, you will maintain and develop next-generation data pipelines, models, and products to elevate consumer research and help answer Netflix's most complex business challenges.

Visit our culture deck and our Research page to learn about what it's like to work on Analytics at Netflix.

In this role, you will:
• Maintain and help develop scalable data pipelines to manage and transform large amounts of survey, social and behavioral data for analytics use cases and company-wide reporting.
• Create and maintain highly intuitive story-driven dashboards to answer some of the most challenging questions in entertainment through data visualization.
• Partner closely with Researchers, Data Scientists, and Analytics Engineers to help identify critical analytical problems and find innovative solutions with data.
• Support the development of data products and tools to facilitate self-service analytics and enable the broader use of key datasets.
• Collaborate with Researchers, Engineers, and Data Scientists to conduct analyses and apply statistics to answer specific questions or support larger initiatives.
• Support the execution of Quantitative and Qualitative research through research sampling design and targeting.

To be successful in this role, you have:
• A University degree in a technical field (Statistics, Computer Science, Mathematics, or related field) or relevant industry experience.
• A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact.
• A passion for connecting the dots across business needs and effectively collaborating with team members and direct partners to drive projects forward.
• Strong communication skills and can turn insights into actionable, data-driven stories in both verbal and written form.
• Experience giving and receiving feedback to strengthen ideas and partnerships.
• Proficiency in programming and data manipulation skills using SQL, R and/or Python, and version control (Github, Stash).
• Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems.
• Strong data visualization skills and experience with Tableau are required. This includes viz development, complex dashboard actions, and optimizations. Familiarity with other data visualization tools is a plus (e.g., R Shiny, Plotly, Looker).

Jobcode: Reference SBJ-d8b41k-18-223-172-252-42 in your application.