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Analytics Engineer 5 – Media Science
Netflix. Partner with product managers, business teams, and Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses supporting content media operations at scale .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, metric visualization, and data storytelling, with a strong proficiency in SQL and Python. Capable of developing measurement frameworks and intuitive dashboards while fostering collaboration with diverse stakeholders to drive data-informed decision-making.
Highest-signal resume keywords
Data WranglingData AnalysisSQLPythonDashboard Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationMetric VisualizationData StorytellingMeasurement FrameworksData ModelingContent Production WorkflowAnalytic Tools DevelopmentData Analysis TechniquesScrappy Code DevelopmentPrototype Tool Development
Soft Skills
Exceptional CommunicationCollaboration SkillsCuriosityStrong Business AcumenRelationship Building
Tools & Technologies
PlotlyStreamlit
Industry Keywords
GenAIMedia Creation InnovationsOperational EfficiencyCreative FlexibilityData-Informed Decision Making
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Partner with product managers, business teams, and Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses supporting content media operations at scale
- Develop and execute measurement frameworks quantifying how GenAI-powered and other media creation innovations improve operational efficiency and creative flexibility
- Drive work direction and develop solutions ranging from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product & Tech leadership
- Establish and maintain partnerships with business, product, and data-oriented stakeholders
- Introduce and influence data-informed ways of working
- Collaborate with Analytics Engineers, Data Scientists, and Data Engineers to source and model content production workflow data
- Strengthen foundational data models
- Identify ways to integrate insights that improve creative decision-making throughout the content creation workflow
- Help steer global media production strategy, identify innovation opportunities, and measure the impact of innovation bets
Requirements
What you’ll need- 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders
- Expert in SQL and Python
- Intuitive dashboard/visualization design using common data visualization tools such as Plotly and Streamlit
- Ability to define measurement from the ground up for new technology
- Curiosity and ability to thrive with minimal oversight and process
- Exceptional communication and collaboration skills
- Strong business acumen
- Ability to independently connect the dots across business problems
- Experience developing and deepening relationships with a wide variety of stakeholders
- Experience partnering closely with executive leadership
- Proven track record of influencing strategic decisions through data
- Alignment with Netflix culture
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