Survey Analyst at Netflix managing survey operations and delivering insights on employee listening strategies. Collaborating with analytics partners to strengthen the culture of feedback through data-driven decision-making.
Responsibilities
Own the end-to-end lifecycle for multiple employee surveys and listening mechanisms. This includes survey design, advanced programming (logic, automation, custom scripting), deployment, monitoring, and backend data extraction and analysis for census, pulse, lifecycle, and ad-hoc surveys
Analyze quantitative and qualitative data using SQL and statistical programming languages (e.g., R or Python) to generate actionable insights, trends, and recommendations
Identify and implement process improvements to optimize survey operations, enhancing scalability and efficiency
Build and maintain dashboards and reports to clearly communicate findings to stakeholders at all levels
Proactively identify, recommend, and implement improvements to survey methodologies, processes, automation, and reporting
Collaborate with partners across Talent, Technology, and the broader business to ensure surveys are aligned with organizational needs and best practices
Cultivate relationships within Talent Analytics and cross-functional teams to better understand the employee experience, emerging trends, and employee needs
Support the design, execution, and integration of qualitative research activities such as focus groups and interviews alongside survey data
Stay up to date with advancements in survey technology, analytics, and data visualization, and apply relevant innovations to the team’s work
Requirements
3+ years of experience in survey operations, people analytics, or a related HR function
Demonstrated experience with the end-to-end survey process, including survey design, advanced programming (logic, automation, custom scripting), deployment, backend data extraction, and analysis
Hands-on expertise with at least one major survey platform (such as Qualtrics or similar), including experience with API integrations, automation, and custom scripting
Proficiency in SQL and at least one statistical programming language (R or Python) for data extraction, analysis, and automation
Experience with data visualization and dashboarding tools to present insights effectively
Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable insights
Attention to detail and commitment to data quality, privacy, and documentation
Effective communication skills, including the ability to explain technical findings to non-technical audiences and collaborate with cross-functional partners
Highly organized, able to manage multiple projects simultaneously in a fast-paced, dynamic environment
Adaptable and comfortable navigating ambiguity and change
Experience working in a global, cross-functional environment 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
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