Analytics Engineer - Consumer Insights
@ Netflix

Hybrid
$445,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXX XXXXXXX***** @netflix.com
Recommended after applying

Job Details

About Netflix

Netflix is one of the world's leading entertainment services, serving over 300 million paid members in more than 190 countries. Members enjoy a wide variety of TV series, films, and games, with the flexibility to watch anytime, anywhere.

About the Role: Analytics Engineer - Consumer Insights

As an Analytics Engineer, you will develop and maintain data pipelines, tooling, and visualizations that deliver consumer insights across the company. You will work closely with an interdisciplinary team including engineers, data scientists, researchers, and analysts to solve complex business challenges.

  • Develop scalable data pipelines for survey, social, and behavioral data.
  • Create and maintain intuitive dashboards and data products.
  • Collaborate with cross-functional stakeholders to drive data-driven insights.
  • Conduct statistical analyses that inform key business decisions.
  • Apply software engineering best practices to improve data tools.

Key skills/competency

SQL, Python, Data Pipelines, Data Visualization, Statistical Analysis, Data Engineering, Stakeholder Management, Scripting, Dashboarding, API Integration

Additional Information

Netflix values diversity and inclusion and provides comprehensive benefits including health plans, retirement plans, stock options, and flexible time off. For candidates requiring accommodations during the hiring process, please reach out to your recruiting partner.

How to Get Hired at Netflix

🎯 Tips for Getting Hired

  • Customize your resume: Highlight SQL, Python, and pipeline expertise.
  • Research Netflix culture: Understand their mission and values.
  • Showcase data projects: Demonstrate relevant consumer insights work.
  • Prepare for interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python scripting for data manipulation.
Study data pipeline architecture and orchestration.
Familiarize with dashboard development tools.

Behavioral Questions

Describe collaboration with cross-functional teams.
Explain conflict resolution in project settings.
Discuss handling ambiguous project requirements.
Share an example of stakeholder communication.

Frequently Asked Questions