Analytics Engineer (L4) - Finance

Netflix is seeking an Analytics Engineer (L4) for their Finance Data Science and Engineering team. This role involves collaborating with cross-functional partners to build insights and tools for data-driven decision-making. Key responsibilities include uncovering patterns through data analysis, developing self-service data products, building visually appealing dashboards, and partnering with data engineers to design data structures. The ideal candidate should have an advanced degree in a quantitative field, 3+ years of experience in data science and analytics, proficiency in SQL and Python, and experience with data visualization platforms. The role offers a competitive salary range of $170,000 - $720,000, comprehensive benefits, and the opportunity to work in Netflix's unique culture that values diversity and inclusion.

Responsibilities:

• Embed with business stakeholders to influence decision-making using data
• Conduct proactive data analysis and share insights
• Develop self-service data product tools and solutions
• Build high-performing dashboards using tools like Tableau
• Partner with data engineers on data structure design
• Explore better data methods to improve precision and accuracy
• Maintain analytical tools for critical month-end close processes

Requirements:

• Advanced degree in a quantitative field
• 3+ years experience in data science and analytics
• Strong SQL and Python skills
• Experience with data visualization platforms
• Knowledge of various analysis methods
• Strong communication and relationship-building skills
• Self-starter who thrives in ambiguous environments
• Experience with finance/accounting teams preferred
• Experience in e-commerce or subscription businesses preferred

Benefits:

• Comprehensive health plans
• Mental health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• 35 days of paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees

Join Netflix's diverse and inclusive team to help shape the future of entertainment through data-driven insights and innovative solutions.