Analytics Engineer 5 - Growth & Membership

Netflix • Fore Store, VA

27d

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
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 how our team builds business-critical revenue data products within Corporate Finance at Netflix, helping unlock new value and drive strategic decision-making through data. Learn more from our blog on how Finance AEs are driving the business forward through data.

Requirements

• Demonstrated ability to write clean, readable, and impactful SQL code.
• Advanced SQL skills for analytics data processing (orchestration, metrics creation, documentation).
• Familiarity with DBT or other semantic data modeling tools for strong data foundations.
• 8+ years in analytics/data engineering, ideally in high-stakes, business-critical data environments.
• Data-as-a-product mentality and ability to influence and drive cross-functional change from specification, planning, implementation, and beyond launch.
• Deep sense of ownership, curiosity, and a drive to get at the “why” behind data and workflow design.
• Proven ability to mentor, influence, and raise the bar for technical and product standards within a team.
• Excellent communication skills for both technical and non-technical audiences.
• Collaborative, innovative, and comfortable navigating ambiguity in a fast-moving environment.

Nice To Haves

• Experience with AI tools for automation (e.g., Cursor, Claude, Commands, Rules) is a plus.
• Experience with Python Pandas framework is a plus.

Responsibilities

• Champion a “data as a product” mindset: Set the standard for robust documentation, testing, and data model design – making revenue data products easy to understand, trust, and extend.
• Mentor and uplevel the team: Share best practices in analytics engineering, code quality, and documentation; coach others to adopt product-minded approaches and raise AE standards across the org.
• Partner cross-functionally with Finance, Data Science, Data Engineering, and Revenue stakeholders to define the future vision for key revenue data products, surfacing opportunities for innovation and improved business impact.
• Continuously improve business-critical analytics workflows for revenue that power Investor Relations reporting and all downstream revenue consumers, ensuring reliability, scalability, and transparency.
• Drive root-cause analysis and ask “why” to deeply understand the drivers of revenue data issues, proactively identifying improvements to workflows, code, and models.
• Implement and advocate for orchestration best practices to ensure the reliability and timeliness of revenue data pipelines.
• Leverage AI tools (e.g., Claude Code, Cursor, MCP servers) to boost developer productivity and workflow efficiency, and share learnings with the team.
• Contribute to the adoption of modern AE standards (e.g., WAP—Write Audit Publish) and help define best practices for documentation, testing, and code review.
• Work with modern data infrastructure (Iceberg, SQL, orchestration tools), with opportunities to influence adoption of new tools (e.g., DBT, Pandas).

Benefits

• Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options.
• To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
• The range for this role is $297,000.00 - $509,400.00.
• This compensation range will vary based on location.
• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• We also offer paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed