Job Description:
• Partner directly with our cross-functional stakeholders on data, metrics & analytics initiatives
• Proactively identify and perform data exploration and deep dives to influence future product directions
• Develop and validate the appropriate metrics to measure success in the identity space
• Improve foundational data models while designing, owning, and implementing analytical layers and visualizations for scalable analytics
• Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis
• Contribute to the excellence of the Netflix analytics engineering community
Requirements:
• 5+ years of industry experience in a data analytics or data science function
• Expertise in SQL, programming skills (e.g., Python or R, Scala), and some exposure to ETL and data warehousing concepts
• A proven track record of data analysis, maintaining analytical layers, reporting, and visualization (e.g., Plotly Dash, Streamlit, Tableau)
• Exceptional communication, storytelling, and collaboration skills coupled with strong business curiosity and acumen
• Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process
• Experience managing expectations and relationships across a variety of stakeholders
• An interest in Netflix culture
• Familiarity with applied A/B testing experimentation fundamentals is a plus.
Benefits:
• 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.