채용

Survey Analyst, Employee Listening
Los Gatos,California,United States of America; New York,New York,United States of America; Los Angeles,California,United States of America
·
On-site
·
Full-time
·
1mo ago
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
We are at the intersection of award-winning entertainment and cutting-edge technology, powered by our culture and some of the most innovative and collaborative talent in the world. At the center of this is the Netflix Talent (People/HR) team, who are responsible for identifying, attracting and developing Netflix's team of stunning colleagues.
About Talent Analytics:
Talent Analytics focuses on generating meaningful insights from people data that can help leaders inform decisions around our business, our workforce, and our Talent strategy, programs and practices. The team also focuses on maintaining the health and quality of our people data, also called data governance, as this is a critical dependency for generating insights. The team partners with leaders across Netflix and the Talent organization to understand the business context for key questions or challenges that the organization is seeking to address. While the team works most closely with our Global Business Practices (GBP) teams to influence and inform decisions at a program level, some projects bring the group into direct collaboration with business leaders and their HRBPs. The team leverages its diverse backgrounds and an interdisciplinary approach to define the solution best suited to address the question at hand, whether it’s designing data and insights products, developing measurement strategy for new programs or leveraging advanced analytical and statistical methods to deeply understand a topic.
The Role:
We are seeking an experienced Survey Analyst, Employee Listening to join our Talent Analytics team and play a key role in the end-to-end execution of our employee listening strategy and programs. This role will leverage your technical expertise and problem-solving skills to transform employee feedback into impactful reporting and insights to inform decision-making and strengthen our culture of feedback.
You will work closely with and support the Senior Manager, Employee Listening, helping to operationalize and deliver on the team’s strategic vision. You will also collaborate with a high-impact team of people analytics partners, reporting analysts, and social scientists to deliver integrated insights and innovative solutions.
Key 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
Qualifications:
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
This role can be based out of our offices in Los Angeles, Los Gatos, or New York City. Remote work is an option for particularly well-qualified candidates.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $435,000.00.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Mid/L4
Mid/L4 · Analytics Engineer
7 reports
$274,996
total / year
Base
$211,536
Stock
-
Bonus
-
$274,996
$358,605
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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