Staff Analytics Engineer - Ads Sales Performance - Remote

Overview

Netflix is seeking a Staff Analytics Engineer to help build analytics solutions supporting a global sales team in the newly launched ads business area.

In Short

• Lead Sales Performance Analytics & Insights.
• Design and implement sales performance KPIs and scorecards.
• Develop scalable frameworks for regionally distributed teams.
• Utilize machine learning and data modeling to drive insights.
• Collaborate with cross-functional stakeholders.
• Communicate effectively with various stakeholders.
• Mentor and enable others in the analytics community.
• Contribute to the culture of inclusion and diversity at Netflix.
• Work independently and lead cross-functional initiatives.
• Drive innovations in the ads business through analytics.

Requirements

• Advanced training in a quantitative field or equivalent experience.
• Leadership experience with large-scale data.
• Extensive sales analytics experience in adtech or B2B settings.
• Fluency in SQL and analytics/scripting languages like Python.
• Ability to communicate and influence across teams.
• Experience with workflow orchestration tools like Apache Airflow.
• Strong documentation skills with a focus on impact.
• Commitment to fostering technical communities.
• Exemplary stewardship of Netflix's culture and values.
• Passion for building innovative analytics solutions.

Benefits

• Comprehensive health plans and mental health support.
• 401(k) Retirement Plan with employer match.
• Stock Option Program and Disability Programs.
• Flexible time off for full-time salaried employees.
• Paid leave of absence programs.
• Family-forming benefits and life benefits.
• 35 days of paid time off for full-time hourly employees.
• Commitment to diversity and inclusion in the workplace.
• Support for accommodations during the hiring process.
• Opportunity to work in a global environment with diverse teams.