Analytics Engineer, Level 5 – Identity

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. Apply tot his job Apply To this Job