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Netflix

Senior Analytics Engineer (L5) - Studio Metrics & Strategy DSE

Posted 5 Days Ago
Be an Early Applicant
In-Office
Los Angeles, CA
170K-720K
Senior level
In-Office
Los Angeles, CA
170K-720K
Senior level
As a Senior Analytics Engineer, you'll drive analytical solutions, design metrics, partner with business teams, and present insights for content operations.
The summary above was generated by AI

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.

The Studio Metrics & Strategy DSE team leverages data to empower our business partners in the Content Operations & Innovation organization to measure, interrogate, and steer Content Operations with precision and clarity. This facilitates operational excellence in content production, enabling creative teams to produce the best movies and shows that we know members will love.

We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with business teams and product managers to design metrics, develop analytic tools, and perform analyses that power content operations at scale. Your analytical insights will help steer global production strategy, supercharge and assess the impact of product-enabled workflows, and ensure we have the resources and capabilities necessary to produce and innovate on our diverse content slate.

As a Senior Analytics Engineer in this space, you will:

  • Be a strategic partner for Content Operations & Innovation leaders and teams, identifying impactful analytical problems and finding innovative data solutions that improve business health

  • Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership 

  • Establish and maintain strong partnerships with a variety of business and product stakeholders, working directly with them to introduce and influence data-informed ways of working

  • Be a strategic thought partner for Content & Business Product PMs, identifying metric and analytic opportunities to assess the impact of our product solutions

  • Spearhead the creation of new metrics and analytic tools to drive clarity and velocity in decision-making, and partner to integrate your insights into product-driven workflows

  • Present your analytical methodology and findings to both technical and non-technical partners

  • Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate productization of data insights

About you

  • 5+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders

  • An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit)

  • Exceptional communication and collaboration skills coupled with strong business acumen

  • Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process

  • You connect the dots across business needs and independently drive projects forward

  • A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table

  • You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data

  • Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain

  • Netflix culture resonates with you

  • Experience designing observational causal inference studies and driving strategic decision-making through its findings is a plus

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 $170,000 - $720,000.

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 detail about our Benefits here.

Netflix has 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.

Top Skills

Plotly
Python
SQL
Streamlit
Tableau

Netflix Los Angeles, California, USA Office

5808 W Sunset Blvd, Los Angeles, CA, United States, 90028

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