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Analytics Engineer (L4) - Finance

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.
$170,000 - $720,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Finance · Enterprise SaaS
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Description For 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.

Last updated 10 months ago

Responsibilities For Analytics Engineer (L4) - Finance

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

Requirements For Analytics Engineer (L4) - Finance

Python
  • Advanced degree in a quantitative field
  • 3+ years experience in data science and analytics
  • Strong SQL skills
  • Proficiency in Python
  • Experience with data visualization platforms
  • Knowledge of various analysis methods
  • Strong communication skills
  • Self-starter who thrives in ambiguous environments

Benefits For Analytics Engineer (L4) - Finance

Medical Insurance
Mental Health Assistance
401k
Equity
Dental Insurance
Vision Insurance
Parental Leave
  • 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

Interested in this job?