Analytics Engineer 5 – Demand Science

Netflix

. Partner directly with Scientists, Product Managers, and Engineers on media planning and campaign management analytics initiatives .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $330,000 - $566,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and data science, with a strong ability to manipulate large data sets using SQL and Python, and to communicate insights effectively to diverse stakeholders. Proven track record in developing metrics and tools that inform campaign strategies and drive product decisions.

Highest-signal resume keywords

Data AnalyticsSQLPythonData VisualizationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisDashboard DeliveryMetrics DevelopmentBig Data TechnologiesLLM Techniques

Soft Skills

Communication SkillsCollaboration SkillsBusiness AcumenOwnershipAdaptability

Tools & Technologies

HadoopSparkVisualization Tools

Industry Keywords

Campaign ManagementMedia PlanningAnalytics Initiatives

Tech Stack

Tools & technologies

HadoopPythonSparkSQL

About the role

Key responsibilities & impact

Partner directly with Scientists, Product Managers, and 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 analysis, metrics, and tools used across Ads Demand
Turn data into insights and recommendations that shape campaign and planning outcomes
Define and evolve metrics describing 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

Requirements

What you’ll need

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 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
Nice to have: Experience with LLM techniques that accelerate data analysis

Benefits

Comp & perks

Health Plans
Mental Health support
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