Analytics Engineer 4 - Content Data Science & Engineering

Posted 2 Days Ago
2 Locations
In-Office
250K-421K Annually
Mid level
News + Entertainment
The Role
Partner with content teams to design and build analyses, metrics, dashboards, and data tools that measure and improve content performance. Develop scalable data pipelines and workflows, apply statistical and machine learning techniques for insight generation, and translate complex analytics into actionable recommendations for cross-functional stakeholders.
Summary Generated by Built In

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 mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. As we envision the future of content at Netflix, we're seeking an Analytics Engineer to join our team and partner with one of our content verticals. This role will leverage cutting-edge analysis, data science, metrics, and models to drive progress in the space. Your role will extend beyond advising the business on content performance; you'll also be a thought partner to the diverse cross-functional teams that bring our content to life.

The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our content teams create and distribute titles that drive member value. They will also be a thought leader in analytics, capable of translating complex metrics and data science outputs into actionable insights.

Check out this blog post to get a better feel for what it’s like to be an Analytics Engineer at Netflix.

What you will do:

  • You will create impactful analyses, metrics, reports, dashboards, and custom tools to reveal in-depth insights into our content performance.

  • You will work cross-functionally to identify opportunities that enhance our overall content strategy and within your specific vertical.

  • You will team up with other data and insights colleagues to develop robust, scalable solutions for our business.

You are:

  • An analytics professional with 3+ years of experience in the field with a proven track record of understanding the true needs of the business and how to use data skills and partnerships to fulfill those needs.

  • Fluent in Python, SQL for working with big data (e.g. Spark, Trino) & experienced in engineering data pipelines and orchestrating workflows (e.g. Airflow, Metaflow).

  • Experienced in delivering actionable insights using various data analysis techniques (regression, cohort, clustering, time series, factor analysis, etc.).

  • Experienced with industry-standard visualization and BI tools (for example, Tableau, Looker, Power BI, Microstrategy, etc).

  • A strong communicator who can develop, own, and deepen strong relationships with a wide variety of non-technical and technical stakeholders.

  • Comfortable with ambiguity and able to thrive with minimal oversight and process.

  • Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.

  • An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects.

  • An individual with a growth mindset who is impact-driven and has a strong desire to grow a broad set of technical and non-technical skills.


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 $250,000.00 - $421,000.00.

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. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Skills Required

  • 3+ years of analytics experience
  • Fluent in Python
  • Proficient in SQL for big data (e.g., Spark, Trino)
  • Experience engineering data pipelines and orchestrating workflows (e.g., Airflow, Metaflow)
  • Experience with statistical and analytical techniques (regression, cohort, clustering, time series, factor analysis)
  • Experience delivering actionable insights using data analysis
  • Experience with BI and visualization tools (Tableau, Looker, Power BI, Microstrategy)
  • Strong communication and stakeholder partnership skills
  • Ability to work with ambiguity and minimal oversight
  • Analytical mindset with attention to root causes and detail orientation
  • Growth mindset and drive to expand technical and non-technical skills

Netflix Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netflix and has not been reviewed or approved by Netflix.

  • Fair & Transparent Compensation Compensation is positioned as “personal top of market” with regular recalibration and broad posted ranges for senior roles that signal the philosophy. The cash‑forward structure and clearly described pay‑mix choices help set expectations on how pay is determined.
  • Equity Value & Accessibility Employees can choose the mix of cash versus fully vested 10‑year stock options, with grants structured to be retained even after departure. This employee‑directed design increases accessibility and control over equity participation.
  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, vision, and mental health, with employer funding designed to offset premiums. Additional resources like counseling/coaching and wellness support reinforce breadth in care access.

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The Company
HQ: Los Gatos, CA
13,212 Employees
Year Founded: 1997

What We Do

Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

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