Performance Senior Analyst, NCX
NetflixUSA - Remote$270k – $380kPosted 25 March 2026
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.
The Product Merchandising organization delivers intuitive merchandising and local expertise to make it easy
and enjoyable
for our members to find and choose what to watch now, and next.
To improve how we accomplish this, we consistently investigate and evaluate our work.
The Performance Sr. Analyst role will be responsible for developing a learning agenda and tracking experimentation analyses for our new content categories (Live, Games, Podcasts, Sports, and more) for the Product Merchandising organization, with the goal of understanding title and catalog promotion, product and member behavior, and merchandising activations of these new experiences.
Success in this role requires advanced knowledge of content distribution, experimentation metrics, and concepts, a curious mindset, and a collaborative spirit. You should be comfortable at the intersection of data and creativity, and thrive at translating information (data, facts) into understanding (stories and takeaways).
In this role, you will be responsible for:
Develop and own a learning agenda for our new content categories, including writing experimentation frameworks, metrics, and observational analyses to understand how these new content categories are performing (both at the title and catalog levels), how our members are interacting with them, and the effectiveness of our merchandising strategies. This role demands a deep understanding of consumer behavior, promotional funnels, and product performance.
Partnering with the NCX Merchandising team to plan and measure activations for our new content categories, both globally and locally.
Working with the other Performance teams to support efforts to standardize distribution performance reporting, helping identify cross-team best practices to enhance scalability and consistency in analytics. This includes collaborating with other Performance teams to evolve self-serve Merchandising dashboards/tools as a whole.
Serving as a subject matter expert and a primary point of contact for promotional data for our new content categories, supporting our NCX Product Merchandising teams.
Qualifications [including specific skills, years of experience, etc:
5-7 years of experience in analytical and insight roles
Technical expertise in experimentation (AB tests), writing and reading queries (SQL) and metrics understanding
Demonstrated experience with storytelling skills, especially with data analysis (visual slides, memos, synthesizing quantitative and qualitative insights)
Strong communication and presentation skills
Must be a self-starter who can work independently
Genuine interest and curiosity in Netflix’s business, product, content, and the entertainment industry
Bachelor’s degree required
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 $270,000.00 - $380,000.00. 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 ... (truncated, view full listing at source)
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