Analytics Engineer, Level 5 – Identity
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $720,000 per year
Job Level
Mid-LevelSenior
Tech Stack
ETLPythonScalaSQLTableau
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRScalaETLdata warehousingdata analysisreportingvisualizationA/B testing
Soft skills
communicationstorytellingcollaborationbusiness curiositybusiness acumenownershipadaptabilityrelationship managementstakeholder managementcomfort with ambiguity