Analytics Engineer - Content Dse

Job Description

Analytics Engineer (L5)
- Content DSE

Netflix is the world's leading streaming entertainment service with over 260 million paid memberships in over 190 countries enjoying series, documentaries, feature films, and live events across a wide variety of genres and languages. The Content Data Science and Engineering (DSE) team is passionate about storytelling and bringing our members joy.
Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. We focus on creating analytical products that support our content partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.

We are seeking a talented Senior Analytics Engineer to lead metric development, analysis insights, and tooling projects with our business stakeholders. This role features ample opportunity for project ownership and will support impactful decision-making. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities. You'll help set our strategic agenda in the analytics space, ramp up on new tools required to guide projects to completion, track down bugs, and everything in between.

In this role, you will:
• Collaborate closely with data scientists, engineers, finance partners, and our content teams to deliver insights through statistical analyses, modeling and/or dashboards that drive key decisions.
• Be a strategic thought partner with business stakeholders to define high impact analytical problems and innovative ways to solve them with data.
• Design, build and automate business metrics into self-serve dashboards to tell a story. Assist and educate on interpretation.
• Research and develop key metrics and performance indicators.
• Translate analytical insights into concrete, actionable recommendations to our content teams for decision making.

About you:
• Strong experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
• Proven track record in transforming large amounts of complex data into insights by leading the end-to-end creation of intuitive data products.
• Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships. Passionate about communicating difficult concepts to non-technical audiences.
• Self-starter who thrives under a high level of autonomy.
• Exceptional interpersonal and communication skills.
• Enthusiastic about Netflix culture
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 is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Jobcode: Reference SBJ-r0jxvj-18-190-159-10-42 in your application.