Jobs
Required Skills
Workday
EIB
Data Validation
Excel
Project Management
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.
This role sits within the Global Talent Operations Center team, acting as a key operational backbone for Workday data and integrations, with a strong focus on mass data loads, data integrity, and continuous process improvement. You will be expected to be independent, proactive, and highly detail-oriented, with a strong customer service mindset and the ability to translate complex data needs into scalable EIB solutions.
Responsibilities:
- Serve as the primary subject matter expert and point of contact for all Workday EIB-related requests (mass upload) supported by GTOC globally and across business units.
- Build, configure, validate, and run EIB templates for a wide range of HR processes (e.g., hires, job changes, compensation updates, org changes, terminations, one-time payments, data corrections).
- Partner with HR/Talent teams to intake, assess, and prioritize EIB requests, ensuring appropriate approvals, documentation, and controls are in place.
- Perform pre-load data validation (formatting, required fields, business rule alignment) and post-load reconciliation to confirm successful processing and identify any errors.
- Troubleshoot EIB load errors by reviewing error logs, Workday business process configurations, and data dependencies; propose and execute corrective actions.
- Document best practices, standards, and controls for EIB usage (e.g., naming conventions, approval flows, data validation steps).
- Help create, author, and maintain HR knowledge base content related to Workday data, EIB usage, and standard operating procedures.
- Partner with HR, Payroll, and other stakeholders to resolve data discrepancies and implement preventive controls to reduce recurring issues.
- Act as a trusted operational partner to global Talent teams, helping them translate business needs into scalable EIB and data solutions.
- Provide training, guidance, and coaching to Talent partners and GTOC colleagues on EIB fundamentals, data quality expectations, and request best practices.
Basic Qualifications:
- Demonstrated proficiency with Workday HCM tool
- Demonstrated proficiency in Mass Uploads (EIB)
- Demonstrated project management, communication, and customer service skills in an employee-facing setting
- Strong analytical skills, including intermediate to advanced proficiency in sheets/excel
- Strong attention to detail and the ability to deliver results in a fast-paced, high-growth environment
- Ability to problem solve by using rigorous logic and methods to solve difficult problems
Preferred Qualifications:
- Degree in HR, Business, IT, Data/Analytics or a related field
- Experience in Workday Data Analyst, HRIS, HR Operations, or HR Generalist
- Experience with ticket systems (e.g., Zendesk or similar)
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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