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 Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated analytics engineer in this space, you would lead analytics across our media planning and campaign management tools, ML models, and agentic solutions end-to-end. You will be responsible for leading the space; finding the patterns, risks, and opportunities before anyone asks for them, and turning that into a point of view that changes what the team builds next. In this role, you will: • Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives. • Lead open-ended discovery, surfacing risks and opportunities before they're asked for. • Own end-to-end development of the analysis, metrics, and tools used across Ads Demand. • Turn data into insights and recommendations that shape campaign and planning outcomes. • Define and evolve the metrics that describe campaign and planning health. • Partner with data engineering to keep analytics data reliable and available. • Communicate findings and recommendations clearly to technical and non-technical audiences. Nice to have: • Experience with LLM techniques that accelerate data analysis. About you: • 5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery. • 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools • Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process • Track record of turning analysis into a point of view that changes roadmap or product decisions. • Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders • Exceptional communication and collaboration skills coupled with strong business curiosity and acumen • Enthusiastic about and compatible with Netflix culture. 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 $330,000.00 - $566,000.00. 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 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. Job is open for no less than 7 days and will be removed when the position is filled.

Requirements

Must-haves

Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives.
Lead open-ended discovery, surfacing risks and opportunities before they're asked for.
Own end-to-end development of the analysis, metrics, and tools used across Ads Demand.
Turn data into insights and recommendations that shape campaign and planning outcomes.
Define and evolve the metrics that describe campaign and planning health.
Partner with data engineering to keep analytics data reliable and available.
Communicate findings and recommendations clearly to technical and non-technical audiences.
5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery.
5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools
Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process
Track record of turning analysis into a point of view that changes roadmap or product decisions.
Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders
Exceptional communication and collaboration skills coupled with strong business curiosity and acumen
Enthusiastic about and compatible with Netflix culture.
Netflix is a unique culture and environment. Learn more here .
Job is open for no less than 7 days and will be removed when the position is filled.

Nice-to-haves

Experience with LLM techniques that accelerate data analysis.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlllmsqlpython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off