Analytics Engineer (L4) - Corporate Finance

Netflix • Los Gatos, CA

67d • $170,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Our Corporate Finance team, part of Finance Data Science and Engineering (DSE), brings this same innovative approach to our financial operations. As trusted partners to our finance stakeholders, we analyze key metrics, surface actionable insights, and drive value for the business. As Netflix continues to grow, the need for advanced analytics in Finance is greater than ever - leveraging cutting-edge techniques to uncover deeper insights and identify new opportunities for impact. You'll play a key role in shaping the future of advanced analytics within Corporate Finance at Netflix, helping to unlock new value and drive strategic decision-making through data.

Requirements

• 3+ years of experience in analytics engineering, data science, or a similar data-focused role, ideally with a strong focus or interest in finance.
• Demonstrated ability to write clean, readable, and impactful SQL code.
• Strong proficiency in Python, including notebooks and modeling skills.
• Advanced SQL skills for analytics data processing.
• Solid statistical foundation or a strong interest in upskilling in statistics and classical machine learning.

Nice To Haves

• Experience with AI tools for automation.
• Familiarity with DBT or other semantic data modeling tools.
• Examples of applying classical ML techniques to real-world problems, especially in the finance domain.
• Excellent communication skills, with the ability to translate complex data insights into clear, actionable recommendations.

Responsibilities

• Partner with Analytics Engineering, Data Science, Data Engineering, and cross-functional Finance teams to uncover data opportunities where advanced analytics can provide actionable insights.
• Lead advanced analytics projects in key Corporate Finance areas such as spend classification modeling and forecasting general ledger categories.
• Create and curate robust datasets and data pipelines from structured finance data sources to unlock insights and identify patterns.
• Productionize analytics models in partnership with Data Science and Data Engineering teams, focusing on practical, scalable solutions.
• Help upskill the team on when and how to use classical machine learning and modeling techniques.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Motion Picture and Sound Recording Industries
• Education Level: Bachelor's degree