Jobs
Required Skills
Workday
HCM
Data Quality
Process Optimization
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Talent Operations at Netflix focuses on building simple, scalable, and interconnected processes that create a seamless employee experience and power integrated insights across the talent lifecycle. As a Workday Associate, you’ll be part of the team ensuring our core talent system—particularly Workday—work reliably, intuitively, and in ways that strengthen talent data quality across the company.
You’ll support day-to-day Workday operations, partner closely with Talent Tech, Service Delivery and People Analytics, and cross-functional teams to reduce friction in data processing in Workday.
Responsibilities:
System Support & Operational Excellence
Provide daily support for Workday HCM and talent modules, helping partners navigate issues and ensuring processes run smoothly
Troubleshoot system or data problems, identify root causes, and escalate when needed
Maintain foundational configuration (e.g., workflows, reference data, roles) to ensure consistency and accuracy across talent processes
Process & Experience Design
Partner with Talent Operations analysts and managers to simplify and optimize workflows, focusing on reducing friction and improving the end-to-end experience for employees, managers, and HR partners
Contribute to documentation, job aids, knowledge articles, and user-centric materials that help teams adopt new processes or features
Support process reviews to ensure Talent Operations design principles: scalability, interconnectedness, and data integrity
Configuration & Continuous Improvement
Assist with Workday configuration changes under the guidance of talent ops managers or TTE
Participate in Workday releases by testing new features, assessing impacts, and supporting rollouts
Contribute to enhancements that strengthen how data flows across systems and how talent data is captured, structured, and used
Data Quality & Integrated Insights
Build and maintain basic Workday reports that give partners visibility into operations, workflows, and data health
Conduct data audits and partner with Talent Analytics and TTE to uphold data governance standards that enable clean, trustworthy insights
Support projects and initiatives aimed at improving system interoperability and the interconnectedness of talent data across tools and processes
Qualifications:
Workday knowledge (HCM Core required; exposure to Recruiting, Compensation, Absence, Payroll or Talent modules is a plus)
Workday HCM Core certification is required; Workday HCM Reporting certification is a plus
Curiosity about how systems, data, and processes connect and how they can be simplified
A strong accuracy data mindset and attention to detail
Systems-thinking approach that connects day-to-day tasks to enterprise-level talent strategy
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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Production Assistant
83 reports
$52,604
total / year
Base
$52,604
Stock
-
Bonus
-
$36,552
$75,706
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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