HR Data Analytics Lead (Workday) – Hybrid NYC

Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates

New York (NY)

Hybrid

USD 115,000 - 135,000

Full time

14 days+
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Benefits offered by this job

Bonus program
Health care
Paid time off
Parental leave
Professional development

Job summary

Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates in New York City is seeking a Senior Data Analyst to support HR Shared Services. The role focuses on Workday HCM data processing, testing during upgrades, and process automation across firm-wide HR operations.

You will train team members on Workday processes, ensure data integrity, and collaborate with Payroll and other departments to resolve issues. A strong analytical background and attention to detail are essential.

Qualifications

  • Bachelor's degree.
  • Minimum of five years of related HR Shared Services experience, including Workday HCM.
  • Strong knowledge and experience with Workday HCM and business process set up.
  • Knowledge of database structure.
  • Proficiency with Workday, Outlook, Excel, PowerPoint; ability to learn new software.

Responsibilities

  • Provides high-level technical support for processing employment data changes, including new hires, status changes, terminations, and time tracking.
  • Provides training to new and existing People team professionals on various Workday processes.
  • Ensures data integrity and completion of tasks.
  • Liaises with Payroll to coordinate payroll-related transactions.
  • Collaborates with other teams to troubleshoot issues and implement improvements.

Skills

Workday HCM
Data management
Excel
Outlook
PowerPoint
Analytical

Education

Bachelor's degree

Tools

Workday

Job description

Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates in New York City is seeking a Senior Data Analyst to support HR Shared Services. The role focuses on Workday HCM data processing, testing during upgrades, and process automation across firm-wide HR operations.

You will train team members on Workday processes, ensure data integrity, and collaborate with Payroll and other departments to resolve issues. A strong analytical background and attention to detail are essential.

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