Analytics Engineer 4 - Content Data Science & Engineering

Netflix; Los Angeles (CA); On-site; USD 250,000 - 421,000; Full time

Benefits offered by this job

Health Plans

Mental Health support

401(k) Retirement Plan with employer?

Stock Option Program

Disability Programs

Health Savings and Flexible Spending

Family-forming benefits

Life and Serious Injury Benefits

Paid time off

Job summary

Netflix in Los Angeles is seeking an Analytics Engineer to partner with a content vertical and drive insights from data. You will create analyses, dashboards, and data tools, and work with cross-functional teams to translate complex metrics into actionable recommendations.

The ideal candidate has 3+ years of analytics experience, is fluent in Python and SQL, and can build scalable data pipelines using Spark, Trino, Airflow or Metaflow. Strong communication and a growth mindset are essential.

Qualifications

• 3+ years of analytics engineering or similar experience.
• Ability to translate business needs into data solutions.
• Strong communication with non-technical stakeholders.

Responsibilities

• Create impactful analyses, metrics, dashboards, and tools to reveal insights into content performance.
• Identify opportunities to enhance content strategy within your vertical.
• Collaborate with data and insights teams to develop scalable solutions.

Skills

Python

SQL

Big Data

Data Pipelines

Airflow

Metaflow

Data Visualization

Communication

Cross-functional Work

Problem Solving

Tools

Tableau

Looker

Power BI

MicroStrategy

Spark

Trino

Job description

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.

• 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
• Life and Serious Injury Benefits
• 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.